[{"id": "earth_at_night_508_page_100_verbalized", "page_chunk": "# Human Light Sources\n\n## Figure: Human Activity at Night as Seen from Space\n\n**[Verbalized Content of the Figure]**\n\nThe figure shows a stylized globe highlighting the region of Thailand, with a marker indicating the location of Bangkok. This image is used to indicate the geographic context of the following description, which discusses night-time illumination patterns observed from space around Bangkok and nearby waters.\n\n---\n\n**Opposite page**\nThis photograph, taken by an astronaut from the ISS on December 10, 2017, shows the city of Bangkok, the capital and largest city in Thailand, illuminated by city lights. The adjacent waters of the Andaman Sea and Gulf of Thailand are illuminated by hundreds of green lights on fishing boats. Fishermen use the lights to attract plankton and fish, the preferred diet of commercially important squid. As the bait swims to the surface, the squid follow to feed and get caught by fishermen. The same fishing practices are used off the Atlantic coast of South America. The border between Thailand and neighboring Cambodia to the east is distinguished by a marked difference in the number of city lights. Cambodia is less urbanized and its population is smaller than that of neighboring countries. The majority of Cambodia's population lives in rural farming areas where electricity is sparse.\n\n---\n\n## Human Light Sources\n\nViewing Earth at night from space reveals a distinctly human story. As one gazes upon the points of light in images captured from orbiting sensors, discerning eyes begin to see the fingerprints of human presence: from the glow of megacities and the pinpoints of bright light produced by fleets of fishing boats at sea, to gas flares glowing like candles in the darkness, lights show where we have made our homes, established industries, mined natural resources, and built roads. Patterns are everywhere.\n\nIt quickly becomes evident looking at nightlight data that human activity is highly influenced by Earth's natural features and processes, or physical geography. For example, the vital link between humans and water is quite clear. Nearly half the world's population lives along or near coastlines. Others live along rivers and freshwater bodies. Most population centers tend to be along coastlines, near rivers, or near major overland transportation hubs (e.g., highways, railroads) that cut slivers of light through the darkness between cities. In general, our species tends to avoid settling in regions with harsh climates (or if we do, we set about transforming them into something more pleasant), in mountainous areas with steep terrain, and where basic resources like food and water are limited (e.g., deserts). Accordingly, more light is clustered around regions where the climate is moderate, terrain is flat, resources are plentiful, and soil is fertile.\n\nAreas with the brightest light are generally the most urbanized\u2014but not necessarily the most populated. When a city or country is thriving, electricity is used to keep businesses, schools, and factories bustling with activity. Lights show how far urban sprawl extends, as well as areas where growth is occurring or where growth has not yet occurred. Cities usually have many people concentrated in a small area, so electricity usage is high. Poor areas may have large populations but low availability or use of electric lights. These signals from anthropogenic nightlights provide clear indicators of how we've settled our planet and\u2014with some analysis\u2014what we do with our energy.\n\n---\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"84\" -->", "page_embedding_text_3_large": [0.02507304772734642, -0.028617804870009422, -0.008617427200078964, -0.011871881783008575, -0.007200288586318493, -0.039328474551439285, 0.03935902938246727, -0.0062950002029538155, -0.016241712495684624, -0.014805474318563938, 0.04061191901564598, 0.03127637133002281, 0.009266790933907032, -0.018808605149388313, 0.007299602963030338, 0.004885500762611628, -0.015210370533168316, 0.004793826024979353, -0.02678431011736393, 0.02906090021133423, -0.03068048693239689, -0.012612919323146343, -0.06184990704059601, 0.03605873882770538, 0.014240146614611149, 0.02925952896475792, 0.017570996657013893, 0.013972762040793896, -0.007024578750133514, 0.012238580733537674, 0.041223086416721344, -0.000972611946053803, 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"page_number": 100}, {"id": "earth_at_night_508_page_101_verbalized", "page_chunk": "# Figure: Nighttime View of Thailand and Cambodia showing Fishing Boat Lights\n\n**Date:** December 10, 2017\n\nThis figure presents a nighttime satellite view over Southeast Asia, focused on Thailand and Cambodia as seen from the International Space Station (ISS).\n\n## Description\n\n- **Major Features Labeled:**\n    - **Fishing Boats:** Numerous bright green points are visible both in the Andaman Sea (to the west of Thailand) and the Gulf of Thailand (to the south of Bangkok), indicating the presence of fishing fleets using green lights to attract fish at night.\n    - **Cities:** \n        - **Bangkok** stands out as a bright, expansive cluster of lights, showing the dense urban area.\n        - **Phnom Penh,** the capital of Cambodia, is visible as a smaller bright area east of Bangkok.\n    - **Andaman Sea:** West of Thailand, with scattered green fishing boat lights.\n    - **Gulf of Thailand:** South of Thailand, with a high density of green lights from fishing vessels.\n    - **ISS Robotic Arm:** Part of the ISS (International Space Station) structure, visible as a silhouette against the planet.\n- **Orientation:** North is indicated by a small arrow in the lower left corner.\n- **Light Patterns:**\n    - Urban lights are shown as networks of white or yellowish light.\n    - Green dots represent active fishing boats clustered off the coastlines.\n\nThis figure illustrates human activity at night on both land (urban lighting and infrastructure) and sea (fishing). The green lights of fishing vessels are prominent features in the dark expanse of the surrounding seas, especially compared to the stable land-based illumination of cities and roads.\n\n---\n\n**Page 85**", "page_embedding_text_3_large": [0.004076067823916674, -0.005790632218122482, -0.005953250918537378, -0.010994424112141132, 0.03916984423995018, -0.049351178109645844, 0.01793045736849308, 0.017195137217640877, -0.028012802824378014, -0.015059886500239372, 0.01617700420320034, 0.00987730547785759, 0.029610706493258476, -0.01149642001837492, 0.008717765100300312, 0.03543668985366821, -0.01975461095571518, 0.015526531264185905, -0.039650630205869675, 0.014140738174319267, -0.04426051303744316, -0.00382506987079978, -0.018481945618987083, 0.017251700162887573, 0.023501908406615257, 0.010244965553283691, 0.01443062350153923, 0.030232898890972137, -0.01381550170481205, 0.009127846919000149, 0.03489934280514717, 0.010916650295257568, 0.0244069155305624, -0.016219427809119225, 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world,\" the city of Reno, Nevada, is located in Truckee Meadows, along the expansion-limiting eastern foothills of the Sierra Nevada near the California border. It forms part of the Reno-Sparks metropolitan area\u2014the largest such area in northern Nevada, and the second largest in the state after Las Vegas.\n\nOn January 28, 2013, when an astronaut took this photograph, the Moon was in a waning gibbous phase (98 percent of full), providing enough illumination of the ground so that the topography surrounding the Reno-Sparks area (accentuated by snow cover) is clearly visible.\n\nThe relatively isolated nature of the city within the surrounding terrain is highlighted in this nighttime image taken from the ISS. The major industrial and commercial areas of both Reno and Sparks are brightly lit at image center. The major street grid is visible as orange linear features adjacent to these industrial/commercial areas; in contrast, the more outlying residential areas appear dark. The Reno-Tahoe International Airport is visible as a dark, dagger-shaped region.\n\n**Figure:**  \nThe figure consists of a world map with a globe focused on North America. There is a marker indicating the location of Reno, Nevada, in the western United States. This visualization situates the Reno-Sparks metropolitan area geographically within the continent, highlighting its position near the eastern foothills of the Sierra Nevada and close to the California border.\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"86\" -->", "page_embedding_text_3_large": [-0.0027557373978197575, 0.013279488310217857, -0.010974247008562088, -0.008620304055511951, 0.02277643419802189, -0.07039102911949158, 0.03087724559009075, 0.02689989283680916, -0.03107205592095852, -0.024253735318779945, 0.010958013124763966, 0.04850747063755989, 0.019545849412679672, -0.07454695552587509, 0.009951499290764332, -0.003472066717222333, -0.04269566759467125, 0.029757093638181686, 0.00173704803455621, 0.024075161665678024, 0.013758393935859203, 0.005576411262154579, -0.03422147035598755, 0.01737048104405403, -9.924358164425939e-05, 0.011242110282182693, -0.007216054480522871, 0.015422388911247253, -0.018149716779589653, -0.0023194460663944483, 0.020925747230648994, 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Reno-Sparks Urban Area, January 28, 2013\n\nThis figure is a satellite image taken on January 28, 2013, showing the urban area surrounding Reno and Sparks in Nevada. \n\n- The city center of Reno is visible near the middle of the image, labeled \"Reno\".\n- Adjacent to Reno is the city of \"Sparks\", slightly to the east.\n- Residential areas are highlighted in warm light-colored clusters spreading out from the city centers, labeled \"residential\".\n- The \"airport\" is indicated south of central Reno, near a concentration of light.\n- There is visible snow coverage in the surrounding mountains and valleys, labeled \"snow\".\n- The direction north (N) is indicated in the lower left of the image.\n\nThe image demonstrates the clear concentration of urban development and reveals how residential zones extend well beyond the core cities into the surrounding areas, with the backdrop of darker, mountainous and snow-covered terrain for contrast.\n\n**Figure verbalization:**  \nThe urban region is centrally illuminated and distinctly separated from the darker, snow-covered mountains. The most brightly lit areas correspond to Reno and Sparks, with multiple clusters of residential lights radiating outward. The airport area is distinguishable by its characteristic layout among the lights. Snow is clearly present outside the urbanized zone, indicating the landscape's elevation and winter conditions.\n\n---\n\nPage 87", "page_embedding_text_3_large": [-0.01127621904015541, 0.002582842716947198, -0.015535779297351837, -0.014110762625932693, 0.01050175353884697, -0.05656696483492851, 0.015001398511230946, 0.03258951008319855, -0.01609339565038681, -0.02450409159064293, -0.004259560722857714, 0.03900208696722984, 0.031427811831235886, -0.06449749320745468, -0.008550100028514862, -0.02055431716144085, -0.05089787766337395, 0.030359050258994102, 0.0020523336715996265, 0.013584126718342304, 0.006315766833722591, 0.011229750700294971, -0.05210604518651962, 0.02360571175813675, -0.004000114742666483, 0.00320047908462584, -0.017688794061541557, 0.017224114388227463, -0.01756487973034382, 0.002749352715909481, 0.004383475054055452, 0.014683867804706097, 0.0027803315315395594, -0.009347799234092236, 0.006009852979332209, 0.04792392998933792, 0.02210324816405773, 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location of Phoenix, Arizona, in the southwestern United States, marked with a blue pinpoint on the map of North America. Phoenix is situated in the central part of Arizona, which is in the southwestern region of the United States.\n\n---\n\n### Grid of City Blocks-Phoenix, Arizona\n\nLike many large urban areas of the central and western United States, the Phoenix metropolitan area is laid out along a regular grid of city blocks and streets. While visible during the day, this grid is most evident at night, when the pattern of street lighting is clearly visible from the low-Earth-orbit vantage point of the ISS.\n\nThis astronaut photograph, taken on March 16, 2013, includes parts of several cities in the metropolitan area, including Phoenix (image right), Glendale (center), and Peoria (left). While the major street grid is oriented north-south, the northwest-southeast oriented Grand Avenue cuts across the three cities at image center. Grand Avenue is a major transportation corridor through the western metropolitan area; the lighting patterns of large industrial and commercial properties are visible along its length. Other brightly lit properties include large shopping centers, strip malls, and gas stations, which tend to be located at the intersections of north-south and east-west trending streets.\n\nThe urban grid encourages growth outwards along a city's borders by providing optimal access to new real estate. Fueled by the adoption of widespread personal automobile use during the twentieth century, the Phoenix metropolitan area today includes 25 other municipalities (many of them largely suburban and residential) linked by a network of surface streets and freeways.\n\nWhile much of the land area highlighted in this image is urbanized, there are several noticeably dark areas. The Phoenix Mountains are largely public parks and recreational land. To the west, agricultural fields provide a sharp contrast to the lit streets of residential developments. The Salt River channel appears as a dark ribbon within the urban grid.\n\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"88\" -->", "page_embedding_text_3_large": [-0.002984904684126377, 0.0007500237552449107, -0.004803949501365423, 0.010587676428258419, -0.008392670191824436, -0.043565936386585236, 0.05432070791721344, 0.024532422423362732, -0.03305421024560928, -0.011362385004758835, 0.0029678153805434704, 0.0520421527326107, 0.019276559352874756, -0.05398651957511902, -0.025550175458192825, 0.018592992797493935, -0.02951485849916935, 0.036365706473588943, -0.02734263800084591, 0.028664197772741318, 0.027874300256371498, 0.008255957625806332, -0.05046235769987106, 0.01759042963385582, -0.003096933476626873, 0.03682141751050949, -0.002149434993043542, 0.009190164506435394, 0.0026716035790741444, -0.0031633912585675716, -0.014354884624481201, 0.004758378490805626, 0.01637520082294941, -0.010299060493707657, 0.004705212078988552, 0.016587866470217705, 0.0440824069082737, 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the Phoenix metropolitan area, highlighting urban structure and transport corridors. City lights illuminate the layout of several cities and major thoroughfares.\n\n**Labeled Urban Features:**\n\n- **Phoenix:** Central and brightest area in the right-center of the image.\n- **Glendale:** Located to the west of Phoenix, this city is also brightly lit.\n- **Peoria:** Further northwest, this area is labeled and its illuminated grid is seen.\n- **Grand Avenue:** Clearly visible as a diagonal, brightly lit thoroughfare running from Phoenix through Glendale and Peoria.\n- **Salt River Channel:** Identified in the southeast portion, running through illuminated sections.\n- **Phoenix Mountains:** Dark, undeveloped region to the northeast of Phoenix.\n- **Agricultural Fields:** Southwestern corner of the image, grid patterns are visible but with much less illumination, indicating agricultural land use.\n\n**Additional Notes:**\n\n- The overall pattern shows a grid-like urban development typical of western U.S. cities, with scattered bright nodes at major intersections or city centers.\n- There is a clear transition from dense urban development to sparsely populated or agricultural land, particularly evident towards the bottom and left of the image.\n- The illuminated areas follow the existing road and street grids, showcasing the extensive spread of the metropolitan area.\n\n**Figure Description:**  \nA satellite nighttime image captured on March 16, 2013, showing Phoenix and surrounding areas (including Glendale and Peoria). Major landscape and infrastructural features, such as the Phoenix Mountains, Grand Avenue, the Salt River Channel, and agricultural fields, are labeled. The image reveals the extent of urbanization and the characteristic street grid illuminated by city lights.\n\n---\n\nPage 89", "page_embedding_text_3_large": [-0.012408008798956871, -0.010935738682746887, -0.01799791119992733, 0.021761255338788033, 0.008125041611492634, -0.04487668350338936, 0.03457866609096527, 0.03738148882985115, -0.025697806850075722, -0.0032535595819354057, -0.00041063150274567306, 0.07577073574066162, 0.032972551882267, -0.049852482974529266, -0.020564543083310127, 0.003302766475826502, -0.040751177817583084, 0.030327189713716507, -0.015344676561653614, 0.03243718296289444, 0.027981005609035492, -0.01735231839120388, -0.02837466076016426, 0.020958198234438896, -0.004117632284760475, 0.02560332790017128, 0.020596034824848175, 0.015486392192542553, 0.004263285081833601, 0.009408357553184032, -0.01991894841194153, 0.006778741255402565, 0.021336106583476067, -0.02295796573162079, -0.003273242386057973, 0.02432788535952568, 0.019604025408625603, 0.008589554578065872, 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The marker indicates the city's position on the Italian peninsula, in proximity to the Mediterranean Sea.\n\n---\n\n### Unpopulated Slopes of an Active Volcano - Naples, Italy\n\nAn astronaut onboard the ISS took this photograph of the city lights of Naples and the Campania region of southern Italy on January 30, 2017. The Naples region is one of the brightest in Italy. Roughly three million people live in and around this metropolitan area.\n\nThe large black circular area in the photo is Mount Vesuvius, the only active volcano on Europe's mainland. Although any volcanic activity can endanger surrounding communities, eruptive pyroclastic flows of superheated ash and gas are among the most dangerous, moving at speeds of hundreds of kilometers per hour. Vesuvius has erupted on numerous occasions throughout history. Probably the most famous of those eruptions occurred in 79 A.D., when pyroclastic flows destroyed the cities of Pompeii and Herculaneum, trapping more than 16,000 people. Such historic catastrophes\u2014and the fact that 600,000 people currently live in the immediate vicinity\u2014are why the volcano is one of the most heavily monitored in the world, with several dozen sensors located at many points on and around the cone.\n\nThe different colors of lights in the scene reflect some of the history of development in the area. The green lights are mercury vapor bulbs, an older variety that has been replaced in newer developments by yellow-orange sodium bulbs. To the northeast, the lightless gaps between the homes and businesses are agricultural fields. The bright yellow-orange complex amidst the fields is the Consorzio Intercomunale dei Servizi, the largest commercial facility in Europe. A regional view of Italy appears on page 92.\n\n**Date of Photograph:** January 30, 2017\n\nKey points on the ground:\n\n- Agnano\n- Naples\n- Bay of Naples\n\n**Orientation:** North (N)\n\n---\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"90\" -->", "page_embedding_text_3_large": [-0.03288193792104721, 0.021717989817261696, -0.00864476803690195, -0.006974153220653534, 0.005094711668789387, -0.043303392827510834, 0.012191508896648884, 0.01130316685885191, -0.0073387715965509415, -0.012768268585205078, 0.018469572067260742, 0.016785699874162674, 0.0024479145649820566, -0.02924901433289051, -0.01663985289633274, -0.01198599673807621, -0.04142063483595848, 0.0023186407051980495, -0.030468828976154327, 0.032669797539711, -0.01535374391824007, -0.005144432187080383, -0.055103763937950134, 0.027114341035485268, 0.009069050662219524, 0.021015271544456482, 0.015022273175418377, 0.020670540630817413, -0.004388677887618542, 0.03781422972679138, 0.01148879062384367, 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Nighttime Satellite View of Urban and Rural Structure Around Mt. Vesuvius\n\nThe figure shows a nighttime satellite view of the region around Mt. Vesuvius in Italy. The following locations are labeled for orientation:\n\n- **Consorzio Intercomunale dei Servizi**: Brightly illuminated, compact urban cluster towards the top right.\n- **Airport**: Labeled in the central left part amidst a dense core of illumination\u2014indicative of a major transportation hub.\n- **Mt. Vesuvius**: The central, dark circular area, surrounded by illuminated urban streets and settlements; represents a natural, undeveloped zone.\n- **Herculaneum**: Located to the lower left of Mt. Vesuvius, near the coast, a historic urban site indicated by localized bright lighting.\n- **Pompeii**: Shown at the bottom of the image, another historic urban area.\n- **Fields**: Indicated as extensive dark patches around the urbanized areas, representing agricultural or undeveloped land.\n\n### Description\n\nFrom the satellite view, one can observe:\n\n- Dense urbanization reflected by extensive street and settlement lighting surrounding Mt. Vesuvius.\n- A clear contrast between urbanized zones (illuminated) and the more rural or natural fields (dark).\n- Major infrastructure like the airport distinctly identified by its unique arrangement and brightness.\n- Smaller, yet still brightly lit, nodes corresponding to historic cities.\n- The urban fabric forms a network clustered around the volcano, showing suburban and peri-urban expansion.\n- The spatial separation between the major urban nodes and intervening fields illustrates the pattern of land use and the impact of natural geography (like the volcano) on urban development.\n\n---\n\n<!-- PageNumber=\"91\" -->", "page_embedding_text_3_large": [-0.017250174656510353, 0.00167245720513165, -0.02031092904508114, 0.005111163016408682, 0.004951439332216978, -0.0535186305642128, 0.008179347030818462, 0.022227615118026733, -0.03259852156043053, -0.016165539622306824, 0.017933644354343414, 0.03717479482293129, 0.008023337461054325, -0.04368261247873306, -0.01332765445113182, 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Looking east on this clear night, the pattern of nightlights shows populations concentrated mainly along the coastlines, but also in the Po River Valley of northern Italy. Some of the brightest clusters of lights are Rome and nearby Naples, along with the island cities of Sardinia such as Cagliari.\n\n---\n\n### Figure 2: Nighttime View of Italy and Sardinia from the ISS (October 21, 2014)\n\nThis nighttime photograph, taken from the International Space Station, shows the following annotated features:\n\n| Feature         | Description                                                                |\n|-----------------|----------------------------------------------------------------------------|\n| Po Valley       | A bright, well-lit region in northern Italy, indicating a dense population |\n| Rome            | Clearly visible bright cluster south of the Po Valley                      |\n| Naples          | Another bright cluster near Rome                                           |\n| Sardinia        | Island to the southwest of mainland Italy, with multiple luminous spots    |\n| Cagliari        | A distinct bright area in southern Sardinia                                |\n| Airglow         | A faint greenish glow visible along the upper atmosphere                   |\n\n- The coastlines of Italy are illuminated, highlighting urban centers and transportation corridors.\n- Brightest regions coincide with major cities and densely populated areas.\n- The island of Sardinia is notable for both scattered lights and the concentration of brightness around Cagliari.\n\n---\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"92\" -->", "page_embedding_text_3_large": [-0.022060425952076912, 0.016393527388572693, -0.01301796454936266, 0.014550340361893177, 0.004738076590001583, -0.07465271651744843, 0.02114967443048954, 0.011203689500689507, -0.041460879147052765, -0.03486877307295799, 0.009136428125202656, 0.02905731089413166, 0.0016814569244161248, -0.03498442471027374, -0.01935708522796631, -0.024575835093855858, -0.026744291186332703, 0.007108921650797129, -0.02081717737019062, 0.01971849426627159, -0.012259004637598991, 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-0.0002105209423461929, -0.005522334948182106, 0.01513582281768322], "page_number": 108}, {"id": "earth_at_night_508_page_109_verbalized", "page_chunk": "# Urban Structure\n\nCagliari on Sardinia and Catania on Sicily. The small, dark, circular patch dangerously close to Catania marks the unpopulated slopes of the active volcano Etna. Hazy lights, as over the Po Valley and Rome, probably indicate thin clouds above. The island of Malta, which is the tenth smallest and fifth most densely populated country in the world, appears in the lower right. Airglow is vivid in this night shot.\n\n---\n\n## Figure: Night View of Southern Italy and Sicily from Space\n\nThis figure presents a night-time satellite image showing the illuminated urban areas of southern Italy, Sicily, and Malta as viewed from the International Space Station (ISS). The following features are labeled in the image:\n\n- **ISS solar panels** - shown in the upper right of the image.\n- The southern part of **Italy**, including the \"boot\" shape, with illuminated urban areas.\n- The island of **Sicily**, brightly lit, with **Catania** labeled on the eastern coast and the dark patch of **Mt. Etna** nearby, indicating the unpopulated volcano slopes.\n- **Malta**, a small and densely populated island country, is visible towards the lower right, appearing as a small, bright cluster of lights.\n- The **Mediterranean Sea** is visible as the dark area surrounding the landmasses.\n- A compass rose showing North (N) is located in the bottom right corner.\n\nThis view demonstrates how urban areas and natural features are distinguished at night from space, with densely populated regions appearing as bright clusters.\n\n---\n\n<!-- PageNumber=\"93\" -->", "page_embedding_text_3_large": [-0.011012852191925049, 0.010036379098892212, -0.01637244038283825, 0.001140747917816043, -0.001177457394078374, -0.034125156700611115, -0.01253262534737587, 0.007400636561214924, -0.025549815967679024, -0.05864710733294487, -0.0031331563368439674, 0.026430845260620117, -0.01738562248647213, -0.0434640571475029, -0.015300522558391094, -0.006024030037224293, -0.014727854169905186, 0.01676890254020691, 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0.00616719713434577, -0.002621058840304613, 0.002830303041264415, 0.006552646867930889, -0.013281499966979027, -0.001554647576995194, 0.009052564390003681, -0.010843988507986069, 0.01300984900444746], "page_number": 109}, {"id": "earth_at_night_508_page_10_verbalized", "page_chunk": "## Foreword\n\nNASA's Earth at Night explores the brilliance of our planet when it is in darkness. It is a compilation of stories depicting the interactions between science and wonder, and I am pleased to share this visually stunning and captivating exploration of our home planet.\n\nFrom space, our Earth looks tranquil. The blue ethereal vastness of the oceans harmoniously shares the space with verdant green land\u2014an undercurrent of gentleness and solitude. But spending time gazing at the images presented in this book, our home planet at night instantly reveals a different reality. Beautiful, filled with glowing communities, natural wonders, and striking illumination, our world is bustling with activity and life.\n\nDarkness is not void of illumination. It is the contrast, the area between light and dark, that is often the most illustrative. Darkness reminds me of where I came from and where I am now\u2014from a small town in the mountains, to the unique vantage point of the Nation's capital. Darkness is where dreamers and learners of all ages peer into the universe and think of questions about themselves and their space in the cosmos. Light is where they work, where they gather, and take time together.\n\nNASA's spacefaring satellites have compiled an unprecedented record of our Earth, and its luminescence in darkness, to captivate and spark curiosity. These missions see the contrast between dark and light through the lenses of scientific instruments. Our home planet is full of complex and dynamic cycles and processes. These soaring observers show us new ways to discern the nuances of light created by natural and human-made sources, such as auroras, wildfires, cities, phytoplankton, and volcanoes.\n\n---\n\n*Earth at Night*  \nPage x \u2612", "page_embedding_text_3_large": [0.013433339074254036, -0.03647088631987572, -0.015740232542157173, -0.011573700234293938, 0.011816943995654583, -0.061328839510679245, 0.03229650855064392, 0.04073942452669144, -0.03223373740911484, 0.005771156866103411, 0.031433384865522385, 0.05906902626156807, 0.0033759893849492073, -0.016007015481591225, -0.03518404811620712, 0.024622555822134018, -0.030695807188749313, 0.004609863739460707, -0.017199695110321045, 0.011306916363537312, -0.006885370705276728, -0.01994599774479866, -0.01506542693823576, 0.042151808738708496, 0.036188408732414246, 0.022456901147961617, 0.02275507152080536, 0.011024439707398415, 0.027682721614837646, 0.03173155337572098, 0.037851884961128235, 0.007305162493139505, 0.024497011676430702, 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-->\n\n### Living on Fertile Land-Nile River, Egypt\n\nThe Nile River was the center of ancient Egyptian civilization\u2014the lifeline for one of history's first great empires. Annual floods helped bring silt to the soil, which allowed generation after generation to grow crops. Today's nighttime lights show clearly that Egypt's population is, as it was in ancient history, almost completely concentrated along the Nile Valley\u2014a small percentage of the country's land area, the remainder of which is desert.\n\nThe Nile River and its heavily populated delta look like a brilliant, long-stemmed flower in this photograph of the southeastern Mediterranean Sea, as seen from the ISS on October 28, 2010. The Cairo metropolitan area forms a particularly bright base for the flower. The smaller cities and towns within the Nile Delta are harder to see during the day amid the dense agricultural vegetation. However, these settled areas and the connecting roads between them become clearly visible at night. Similarly, urbanized regions and infrastructure along the Nile River become apparent.\n\nAnother brightly lit region visible along the eastern coastline of the Mediterranean is the Tel Aviv metropolitan area in Israel. To the east of Tel Aviv lies Amman, Jordan. The two major water bodies that define the western and eastern coastlines of the Sinai Peninsula\u2014the Gulf of Suez and the Gulf of Aqaba\u2014are outlined by lights along their coastlines. The city lights of Paphos, Limassol, Larnaca, and Nicosia are visible on the island of Cyprus.\n\nScattered blue-grey clouds cover the Mediterranean Sea and the Sinai, while much of northeastern Africa is cloud-free. A thin yellow-brown band tracing Earth's curvature at image top is airglow.\n\n**Location on Globe:**\nThe location highlighted on the accompanying globe is northeastern Africa, specifically near the Nile Delta in Egypt.\n\n**Date of Image:** October 28, 2010\n\n**Photo Source:** International Space Station (ISS)\n\n---\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"94\" -->", "page_embedding_text_3_large": [-0.004931363742798567, 0.01740223541855812, 0.001716845203191042, -0.007218055427074432, 0.02041219361126423, -0.05885491520166397, 0.0482177808880806, 0.0016739240381866693, -0.023056866601109505, -0.05327334254980087, 0.008598837070167065, 0.03080093301832676, -0.00737878168001771, -0.02720651775598526, 0.016510937362909317, 0.01687622256577015, -0.0128799919039011, 0.019988462328910828, 0.0013679969124495983, 0.03351866453886032, -0.0031542463693767786, -0.01564886048436165, -0.023524431511759758, 0.004427269101142883, -0.013340252451598644, 0.008028990589082241, 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-0.006586110219359398, -0.016452491283416748, 0.00335515383630991], "page_number": 110}, {"id": "earth_at_night_508_page_111_verbalized", "page_chunk": "# Urban Structure\n\n## Figure: Nighttime Satellite View of the Eastern Mediterranean and Northeastern Africa\n\n**Description:**\n\nThis figure presents a satellite image at night, showing the urban structure of parts of the eastern Mediterranean and northeastern Africa. The image captures the illuminated urban regions, providing insight into population centers and infrastructure.\n\n**Key Locations Highlighted:**\n\n- **Cyprus:** The island country is visible with the cities of Paphos, Larnaca, Nicosia, and Limassol marked.\n- **Egypt:** The densely populated and illuminated region corresponding to Cairo and the Nile Valley dominates the lower center of the image.\n- **Tel Aviv:** Shown along the eastern Mediterranean coast.\n- **Amman:** Marked inland toward the right.\n- **Cairo:** Very brightly illuminated, indicating the expansive urban area surrounding the city.\n- **Urban corridors:** The lights distinctly trace the course of the Nile River and its delta, extending southward.\n- **Bodies of water named:**\n  - Mediterranean Sea (north)\n  - Gulf of Suez (east of Nile Delta)\n  - Gulf of Aqaba (east of Sinai Peninsula)\n\n**Atmospheric Feature:**\n  \n- A faint band labeled \"airglow\" is visible along the curve of the atmosphere.\n\n**Spatial Pattern Insights:**\n\n- The image shows the concentration of population and urban lights following the Nile, with much sparser lights in the surrounding desert.\n- Urban centers on Cyprus and the eastern Mediterranean coast are visible but smaller compared to the Nile Delta.\n- Major urban centers are connected by strings of light, revealing transportation and settlement corridors.\n\n---\n\n**Page 95**", "page_embedding_text_3_large": [-0.009473242796957493, 0.013792489655315876, -0.017384203150868416, 0.007026434876024723, 0.017108507454395294, -0.03345119208097458, 0.03841372951865196, 0.026803838089108467, -0.01997268944978714, -0.0486757718026638, 0.009013747796416283, 0.02815168909728527, -0.010629636235535145, -0.021427754312753677, 0.014022236689925194, -0.009817862883210182, -0.015324137173593044, 0.005510103423148394, 0.010239066556096077, 0.02971396967768669, -0.0053301346488296986, -0.024598265066742897, -0.032379038631916046, 0.01992673985660076, -0.009894445538520813, 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9.291598689742386e-05, 0.00034988581319339573, -0.012314449064433575, 0.0018753113690763712], "page_number": 111}, {"id": "earth_at_night_508_page_112_verbalized", "page_chunk": "# Urban Structure\n\n## The Winding Seine River and the City of Light - Paris, France\n\n**Location Context:**  \nA simplified globe shows a marker at Paris, France in Western Europe, highlighting its geographic position in the northern part of the continent, near the western edge, in close proximity to the English Channel.\n\n---\n\nAround local midnight on April 8, 2015, astronauts onboard the ISS took this photograph of Paris, often referred to as the \"City of Light.\" When viewed from low Earth orbit, the pattern of the street grid dominates the Parisian night, providing a completely different set of visual features from those visible during the day. For instance, the winding Seine River is a main visual cue by day, but here the thin black line of the river is hard to detect until you focus on the strong meanders and the streetlights on both banks.\n\nThe brightest boulevard in the dense network of streets is the Avenue des Champs-\u00c9lys\u00e9es, the historical axis of the city, as designed in the seventeenth century. This grand avenue joins the site of the former royal Palais des Tuileries\u2014whose gardens appear as a dark rectangle on the river\u2014to the star-like meeting place of eleven major boulevards at the Arc de Triomphe. This famous plaza is also referred to as the \u00c9toile, or \"star.\"\n\nThe many forested parks of Paris stand out as black polygons\u2014such as the Bois de Boulogne and Bois de Vincennes. The Bois de Boulogne is crisscrossed by a few roads and lighted paths.\n\nOrly airport is distinguished by very bright lights next to the dark areas or runways and surrounding open land. Paris's great ring road, the Boulevard P\u00e9riph\u00e9rique, encloses the city center.\n\n---\n\n*Earth at Night*  \nPage 96", "page_embedding_text_3_large": [-0.005775098688900471, 0.022455302998423576, -0.009614924900233746, 0.008363141678273678, -0.004661548882722855, -0.05486343801021576, 0.052160199731588364, 0.016342300921678543, -0.021410871297121048, -0.025127822533249855, -0.006650579161942005, 0.04306749254465103, 0.03091828152537346, -0.023868359625339508, 0.013723539188504219, 0.005183765199035406, -0.010121782310307026, 0.007330228108912706, -0.02220955491065979, 0.027047736570239067, 0.009899072349071503, -0.046938035637140274, -0.03584861755371094, 0.0026974778156727552, 0.003828306682407856, 0.014445425942540169, 0.028184324502944946, 0.014460785314440727, -0.005594627000391483, 0.0201514083892107, 0.05885685607790947, 0.013155244290828705, 0.028000012040138245, -0.029735613614320755, -0.037415266036987305, -0.020412515848875046, 0.057781703770160675, 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satellite view of the Paris metropolitan area, highlighting key urban features with illuminated roadways and distinctive urban shapes. Several notable locations and features are labeled on the image, illustrating the structure and layout of the city.\n\n**Labeled Features on the Image:**\n- **Charles de Gaulle Airport:** Located in the northeast, identified by a distinct bright area and its pattern.\n- **Orly Airport:** Shown at the southern edge of the city, another prominent illuminated area.\n- **Arc de Triomphe:** Marked near the city center.\n- **Avenue des Champs-\u00c9lys\u00e9es:** Runs from Arc de Triomphe toward the center, highlighted by a bright, straight corridor.\n- **Boulevard P\u00e9riph\u00e9rique:** The ring road encircling the central districts.\n- **Bois de Boulogne and Bois de Vincennes:** Large dark green spaces to the west (Boulogne) and east (Vincennes) of the city center.\n- **Palais des Tuileries:** Marked near the city center.\n- **Seine River:** Meanders through the illuminated urban area, visible as a dark line contrasting with the city lights.\n- **North Arrow:** Indicates orientation (bottom left).\n- **General Brightness:** The image shows the density of roads and urban activities as illuminated networks, with brighter lights in the city\u2019s center and major transport connections, gradually decreasing toward the edges and open spaces.\n\n**Description:**  \nThe image clearly shows the radial and ring structure typical of Paris, with major avenues diverging from traffic nodes (e.g., Arc de Triomphe) and concentric rings of development. The green spaces of the Bois de Boulogne and Bois de Vincennes stand out as significant dark areas interrupting the urban fabric. Both Charles de Gaulle and Orly airports are peripheral yet clearly integral to the urban structure. The Seine River, snaking through the center, and the faint grid of suburbs further showcase the patterns of urbanization.\n\n*Page 97*", "page_embedding_text_3_large": [-0.039825692772865295, 0.004197240341454744, -0.016804348677396774, 0.0027622533962130547, -0.0072826542891561985, -0.05158258229494095, 0.031038803979754448, 0.023344503715634346, -0.020020566880702972, -0.028099581599235535, -0.007598120719194412, 0.023775383830070496, 0.042441755533218384, -0.027884140610694885, -0.005651462823152542, -0.006320866756141186, -0.014749971218407154, -0.005866903346031904, -0.012887950986623764, 0.017773831263184547, 0.015396292321383953, -0.05804579332470894, -0.05829201266169548, 0.004855102859437466, -0.013280360028147697, 0.01638885773718357, 0.026206783950328827, 0.007363444194197655, -0.0166966300457716, 0.011687640100717545, 0.04724299907684326, 0.00821751169860363, 0.02126704342663288, -0.044411495327949524, -0.012056967243552208, -0.0035105240531265736, 0.029561497271060944, 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demographic detail that is very difficult to discern in daylight images\u2014especially in deserts, where even large cities can be hard to see. The brightest group of lights at image center is the capital city, Doha, with the neighboring smaller ports of Ad-Dahirah and Umm Sa'id to the north and south. (Note that north is to the left in this image, due to the path of the ISS orbit.) Highways are clearly visible leading west from the capital to the Dukhan oil fields, to Saudi Arabia, and to the north of the country where\u2014judging by the lack of nightlights\u2014the population is probably very low. The relatively minor coastal road between the oil fields and the Saudi frontier also stands out.\n\n---\n\n### Figure 1: Location of Qatar in the World\n\nA globe illustration marks Qatar\u2019s location at the eastern edge of the Arabian Peninsula, near the Persian Gulf, showing its position relative to Africa, Europe, and Asia.\n\n---\n\n### Figure 2: Nightlights of Qatar (October 13, 2012)\n\nThis nighttime image, taken from the International Space Station, captures the illuminated urban and infrastructure features of Qatar and its surroundings. The key features visible in this image include:\n\n| Feature            | Description/Position      |\n|--------------------|--------------------------|\n| Doha               | Brightest concentration of lights (city center) |\n| Ad-Dahirah         | To the west of Doha      |\n| Umm Sa'id          | Southeast of Doha        |\n| Dukhan oil field   | West of Doha, at the end of an illuminated road line |\n| Manama, Bahrain    | Lower left, in Bahrain, separated by Gulf of Bahrain |\n| Camel race track   | Marked southwest of Doha |\n| Saudi Arabia       | Indicated to the lower right (southeast) |\n| Persian Gulf       | Marked in the upper right, north of Doha |\n| Gulf of Bahrain    | Marked to the west/southwest |\n\nPrincipal illuminated pathways connect Doha to:\n- The Dukhan oil fields (westwards)\n- Saudi Arabia (southeastwards)\n- Ad-Dahirah and Umm Sa'id (north and south from Doha, respectively)\n\nAreas north and northeast of Doha show very few lights, indicating sparse population in these regions.\n\n---\n\n<!-- Earth at Night -->\n<!-- Page 98 -->", "page_embedding_text_3_large": [0.009615602903068066, 0.01838095113635063, -0.008572109043598175, 0.038338739424943924, 0.02207569219172001, -0.018489165231585503, 0.047954339534044266, 0.008409787900745869, -0.01669590175151825, -0.030207214877009392, 0.015343224629759789, 0.030794663354754448, -0.005124714225530624, -0.0214418675750494, -0.010512234643101692, -0.002919850405305624, -0.024085385724902153, 0.04313107952475548, 0.01205042190849781, 0.018875645473599434, -0.001160403829999268, -0.005167227238416672, -0.01310164574533701, 0.022709518671035767, 0.015204092487692833, 0.01646401546895504, 0.028104769065976143, 0.004908286035060883, 0.015265929512679577, 0.04016292095184326, 0.016324881464242935, -0.014794424176216125, 0.006036805454641581, -0.0643719807267189, -0.005619407631456852, 0.016556769609451294, 0.018751971423625946, 0.029341502115130424, 0.005051283165812492, 0.03710200637578964, 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The difference in light intensity reflects a difference in population: Doha has 1.45 million inhabitants, while the dense Manama metropolitan area has a population of 1.2 million. The thumb-shaped Qatari peninsula, so well-known in Middle Eastern geography, does not show up at all in this nighttime photograph. However, in the image below, the low-light imaging bands of VIIRS on the Suomi NPP satellite showed the Qatari peninsula and the long arm of the Gulf of Bahrain on a moonlit night. The image was acquired during the early morning hours of September 30, 2012, two weeks before the ISS photograph at left.\n\n---\n\n## Figure: Nighttime Satellite View of Arabian Peninsula\n\n**Date observed:** September 30, 2012\n\n**Description of image:**  \nThe VIIRS instrument on the Suomi NPP satellite acquired a nighttime image showing visible features of the Arabian Peninsula, with major cities and landmarks labeled. The image covers several countries and highlights illuminated urban areas. The ISS photograph footprint is outlined on the Qatari peninsula.\n\n### Locations and Features Visible:\n- **Qatar:** Central focus, with bright lights in urban regions.\n- **Saudi Arabia:** Large area to the west and south, includes Riyadh as a bright cluster.\n- **Riyadh:** Clearly illuminated urban area within Saudi Arabia.\n- **Bahrain (not labeled directly):** Appears as a cluster of city lights in the lower left, near the Gulf coast, dominated by Manama.\n- **United Arab Emirates:** To the east of Qatar, with bright illuminated zones around major cities.\n- **Oman:** Southeastern area of the image, with less urban light intensity.\n- **Gulf of Bahrain:** Visible as a body of water to the west of Qatar and near Bahrain.\n\n### Scale and Orientation\n- **North** is indicated at the lower left.\n- **Scale Bar** is 100 km.\n\n### Summary Table of Key Cities and Urban Light Intensity\n\n| Country           | Major City    | Relative Nighttime Light Intensity | Estimated Population (2012) |\n|-------------------|--------------|-----------------------------------|-----------------------------|\n| Bahrain           | Manama        | High                              | 1.2 million                 |\n| Qatar             | Doha          | Very High                         | 1.45 million                |\n| Saudi Arabia      | Riyadh        | High                              | ~5 million                  |\n| United Arab Emirates | (Dubai & Abu Dhabi region) | High                        | N/A                         |\n| Oman              | Muscat region | Moderate                          | N/A                         |\n\n*Note: Population values correspond to the 2012 time frame or nearest available.*\n\n**Highlighted features**:  \n- The ISS photograph footprint is marked as a yellow rectangle, focusing on Qatar and its nearby regions.\n- Illuminated urban zones indicate areas of higher population density.\n- The image permits easy comparison of nighttime urbanization patterns and the density of settlements in the Gulf region.\n\n---\n\n<!-- PageNumber=\"99\" -->", "page_embedding_text_3_large": [0.015733586624264717, 0.02032380737364292, -0.013385627418756485, 0.024627139791846275, 0.04430167004466057, -0.027647020295262337, 0.023826871067285538, 0.023902367800474167, -0.0277074184268713, -0.023434285074472427, 0.01480497233569622, 0.020520098507404327, -0.0035766728688031435, -0.02417415753006935, 0.00348607636988163, 0.004718565847724676, -0.018647773191332817, 0.04816712066531181, -0.007561029866337776, 0.036902960389852524, -0.01795320026576519, -0.0004697332333307713, -0.011679394170641899, 0.008682161569595337, 0.005756650120019913, 0.03469844534993172, 0.02346448414027691, 0.002344183623790741, 0.009369184263050556, 0.02586529031395912, 0.015809083357453346, -0.017651211470365524, 0.005767975002527237, -0.0595218762755394, -0.006054863799363375, 0.031467173248529434, 0.014125498943030834, 0.02752622589468956, 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The nose of Cape Carmel and the bay that protects the Port of Haifa are shapes that can tell crews where they are. In the daylight image of the port city of Haifa on Israel's Mediterranean coast (below), the strong visual line of the coast contrasts with the subtle city colors. The night image (right) shows different city characteristics.\n\n---\n\n#### Figure 1: Haifa Location on the Globe\n\nThis diagram shows a world map centered on Europe, North Africa, and western Asia, with a marker highlighting the location of Haifa, Israel on the eastern edge of the Mediterranean Sea.\n\n---\n\n#### Figure 2: Daylight Satellite Image of Haifa, Israel\n\nThis daylight, color satellite image shows the city of Haifa, Israel, and its surrounding features captured on November 29, 2015. The following key areas are labeled:\n\n| Feature           | Description                                                                 |\n|-------------------|-----------------------------------------------------------------------------|\n| Cape Carmel       | The prominent cape jutting into the Mediterranean Sea on the left of Haifa.  |\n| Port of Haifa     | Located along the bay, east of Cape Carmel, serves as a major harbor.        |\n| Mediterranean Sea | On the upper part of the image; Haifa sits along its coast.                  |\n| Canyon Cliffs     | Visible as winding, rugged terrain; Haifa's neighborhoods snake along them.  |\n| Haifa             | The main city is labeled, situated between the cliffs and the sea.           |\n\nOther visible features in the image include urban development along the bay, agricultural or open land to the southeast, and scattered patchy clouds mostly toward the bottom right of the image.\n\nA north-pointing arrow (N) is shown in the lower 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The brilliant port lights contrast with somewhat dimmer residential areas. Straight roads of the older residential neighborhoods are easily distinguished from the winding roads that follow the canyon cliffs. The industrial district just east of the port has areas of green and blue lights and a less-dense street pattern. Surrounding farmlands are so dark that they can be confused with the sea.\n\n---\n\n## Figure: Nighttime Urban Structure of Haifa, Israel\n\nThis image, taken on December 14, 2015, shows the illuminated urban structure of Haifa and its surroundings at night, as seen from space.\n\n**Key Features Labeled in the Image:**\n\n- **Mediterranean Sea**: The dark expanse at the top and left portion of the image.\n- **Cape Carmel**: Noted at the northwestern tip, an identifiable outcrop near Haifa.\n- **Port of Haifa**: A brightly lit zone projecting into the sea, highlighting port activity and infrastructure.\n- **Haifa**: The central, widely illuminated zone, showing the heart of the city.\n- **Canyon Cliffs**: Marked by winding, gold lines indicating curving roads, in contrast to the grid patterns of older neighborhoods.\n- **Residential Areas**: Displayed as slightly dimmer networks of straight roads, easily distinguishable from industrial zones and highways.\n- **Industrial District (east of port)**: Areas with patches of green and blue illumination, as well as a noticeable, sparse street pattern.\n- **Farmlands**: Surrounding dark areas, with minimal lighting, blending visually with the adjacent sea.\n\n**Orientation:**  \nNorth is indicated by a compass arrow at the bottom left of the image.\n\n**Date of Image:**  \nDecember 14, 2015\n\n---\n\n<!-- PageNumber=\"101\" -->", "page_embedding_text_3_large": [0.010918576270341873, 0.006329720374196768, -0.008849391713738441, -0.014064348302781582, -0.0018029012717306614, -0.06175485998392105, 0.0013008759124204516, 0.03255721181631088, -0.03408428281545639, -0.021256865933537483, 0.02133321948349476, 0.026830684393644333, -0.00015163363423198462, -0.008803579956293106, -0.025670107454061508, -0.012483826838433743, -0.023975055664777756, 0.009567116387188435, -0.010933847166597843, 0.021562280133366585, 0.020951449871063232, -0.01255254540592432, -0.0678020715713501, 0.028617359697818756, 0.00026342019555158913, 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"earth_at_night_508_page_118_verbalized", "page_chunk": "<!-- PageHeader=\"Urban Structure\" -->\n\n## Differences in Socio-Economic Strategies \u2013 Korean Peninsula\n\n### Figure 1: Location of the Korean Peninsula\n\nThis figure (not shown here) is a map highlighting the Korean Peninsula's position in East Asia, with a marker locating it on the eastern coast of the continent, bordered by China to the west and Japan to the east. \n\n---\n\nUnlike daylight images, lights at night illustrate dramatically the economic significance of cities, as gauged by relative size. Usually, nightlights can be used to gauge a region's population: more people mean more lights. But the Korean Peninsula has a different story to tell. Flying over East Asia, astronauts on the ISS took this night image of the Korean Peninsula on January 30, 2014. In this north-looking view, it is immediately obvious that Seoul is a major city and that the port of Gunsan is minor by comparison. There are 25.6-million people in the Seoul metropolitan area\u2014more than half of South Korea's citizens\u2014while Gunsan's population is 280,000. North Korea is...\n\n---\n\n### Figure 2: Nighttime Satellite View of East Asia (January 30, 2014)\n\n#### Visual Description\n\nThis image shows the eastern part of China and the Korean Peninsula at night as viewed from the International Space Station on January 30, 2014. Bright city lights are clearly visible in eastern China, revealing the high level of urbanization and economic activity. In contrast, the Korean Peninsula displays a stark difference between South and North Korea. South Korea is brightly lit, especially around Seoul (not labeled but implied by context), while North Korea appears almost entirely dark with only a small light visible near Pyongyang, its capital. The Bo Hai Gulf and Yellow Sea are dark, outlined by the coastal lights.\n\n#### Verbalized Table: Relative Nighttime Illumination and Population of Major Cities in the Korean Peninsula\n\n| Region/Country/City       | Population (approx.) | Relative Nighttime Illumination | Notes                                                    |\n|---------------------------|----------------------|-------------------------------|----------------------------------------------------------|\n| Seoul (South Korea)       | 25,600,000           | Very Bright                   | Major city; large metropolitan area                      |\n| Gunsan (South Korea)      | 280,000              | Dim/Minor                     | Minor port city                                          |\n| Pyongyang (North Korea)   | 2,870,000            | Small Spot                    | Only visible area of illumination in North Korea         |\n| Rest of North Korea       | \u2014                    | Very Dark/No Illumination     | Indicates low level of electrical infrastructure/use     |\n| Eastern China             | Various              | Extensive, Bright             | Dense urban and economic activity along coast; very lit  |\n\n**Key observations from the image:**\n- South Korea, especially around Seoul, is brightly illuminated, reflecting extensive electrification and urban population.\n- North Korea is almost completely dark, with only a faint glow around Pyongyang, highlighting stark differences in economic development and socio-economic strategies between the two countries.\n- The Bo Hai Gulf and Yellow Sea are labeled but dark, contrasting with the highly lit regions surrounding them.\n\n---\n\n<!-- PageFooter=\"102 Earth at Night\" -->", "page_embedding_text_3_large": [0.010038081556558609, -0.037061307579278946, -0.023244455456733704, 0.00014477073273155838, 0.01624329946935177, -0.05968755856156349, 0.04265604913234711, 0.01466688048094511, -0.023538103327155113, -0.02240988053381443, 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Its capital city, Pyongyang, appears like a small island of light, despite a population of 3.26 million (as of 2008). The light emission from Pyongyang is equivalent to the smaller towns in South Korea. Coastlines are often very apparent in night imagery, as shown by South Korea's eastern shoreline, but the coast of North Korea is difficult to detect. These differences are reflected in the significant differences in per capita power consumption between the two countries, with South Korea at 10,162 kilowatt hours and North Korea at just 739 kilowatt hours.\n\n---\n\n## Nighttime Satellite View of the Korean Peninsula\n\n**Description:**  \nA nighttime satellite image showing South Korea brightly lit with dense clusters of lights across the urban areas. North Korea, in stark contrast, is almost entirely dark with only a small light visible at Pyongyang, while South Korea\u2019s cities including Seoul and Gunsan are prominently lit. The coastlines of South Korea are easily distinguishable due to the lights, but North Korea's coast is not discernible. The Sea of Japan is labeled to the east.\n\n**Summary Table of Key Data on Power Consumption:**\n\n| Country       | Per Capita Power Consumption (kWh) | Visual Nighttime Light Emission      |\n|---------------|------------------------------------|--------------------------------------|\n| South Korea   | 10,162                             | Extensive, coastline visible, bright |\n| North Korea   | 739                                | Very limited, mostly dark            |\n\n**Key Places Labeled in the Image:**  \n- Sea of Japan  \n- North Korea  \n- Seoul  \n- South Korea  \n- Gunsan  \n\n---\n\n<!-- PageNumber=\"103\" -->", "page_embedding_text_3_large": [0.023828253149986267, -0.049352262169122696, -0.01151211652904749, 0.012469632551074028, 0.020904541015625, -0.06309370696544647, 0.024091387167572975, 0.021518521010875702, -0.017439942806959152, -0.04791964218020439, 0.03327184543013573, 0.020246706902980804, -0.0006455008406192064, -0.023258129134774208, -0.005573326256126165, 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0.00590955326333642, -0.00854454841464758, -0.017308374866843224, -0.020392892882227898, 0.021021490916609764, 0.01303244661539793, -0.008325270377099514, -0.004129743203520775, -0.007850167341530323, -0.012257663533091545, 0.004677939228713512, 0.00617999630048871, -0.00628963578492403, 0.0012919153086841106], "page_number": 119}, {"id": "earth_at_night_508_page_11_verbalized", "page_chunk": "Science not only changes what we know, but also how we think about our place in the cosmos. I invite you to take a moment to discover our world at night through the eyes of space science. I have no doubt that inherent beauty of these images will inspire\u2014feeding the soul and mind of the reader. As Vincent van Gogh said, \"For my part I know nothing with any certainty, but the sight of the stars makes me dream.\" I challenge you to look back from the stars to see Earth in a completely new way.\n\n**Thomas H. Zurbuchen**  \nAssociate Administrator  \nNASA Science Mission Directorate\n\n---\n\n_Page Number: xi_", "page_embedding_text_3_large": [0.009586295112967491, -0.02210524119436741, -0.019346026703715324, 0.014584412798285484, 0.016413377597928047, -0.054900459945201874, 0.04496729373931885, 0.039196595549583435, -0.02443874627351761, 0.01272391527891159, -0.00226452574133873, 0.05959900841116905, 0.032069943845272064, -0.002164011588320136, -0.00653539365157485, 0.014694781973958015, -0.01663411408662796, 0.021837202832102776, -0.04219231382012367, 0.005518426652997732, -0.01033522468060255, -0.023177390918135643, -0.032952889800071716, 0.031171226873993874, 0.03550713509321213, 0.00556966895237565, 0.0027907472103834152, 0.024911753833293915, 0.010855533182621002, 0.040899425745010376, 0.0506749227643013, 0.021789900958538055, 0.03156540170311928, -0.0003128750831820071, -0.01901492103934288, -0.022735917940735817, 0.027182193472981453, 0.005254330579191446, 0.03339436277747154, 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But by night, the evenly spaced points of light revealing the presence of population centers puncture the darkness. It's no mistake that these lights appear roughly every 20 to 30 miles (every 30 to 50 kilometers), as many of the towns grew up around railway stations. Maps from the middle of the twentieth century show the network of railway lines that gave shape to this curious configuration. Today, cars have outpaced trains in popularity, but the mark of the railways remains emblazoned in the terrain. Some tracks are still visible from space, such as those running parallel to the road between C\u00f3rdoba.\n\n---\n\n## Figures\n\n### Figure 1: Location of Central Argentina\n\nA map of the world with a marker pinpointing the region in central Argentina (roughly in the central portion of the country, on the eastern side of South America).\n\n---\n\n### Figure 2: Satellite View of Central Argentina (2016)\n\nA satellite photograph from 2016 displays the central region of Argentina with major cities and transportation routes labeled. The following places are indicated on the map:\n\n| Location            | Notes                    |\n|---------------------|-------------------------|\n| C\u00f3rdoba             | Major city              |\n| Santa Fe            | Major city              |\n| Villa Maria         | City                    |\n| Pan-American Highway| Major highway           |\n| San Luis            | City                    |\n| Rio Cuarto          | City                    |\n| Rosario             | Major city              |\n| Buenos Aires        | Capital city            |\n\n- A scale indicates a distance of 50 km.\n- The orientation is towards the north.\n\n---\n\n<!-- PageFooter=\"104 Earth at Night\" -->", "page_embedding_text_3_large": [0.02003178931772709, 0.01281715277582407, -0.008467620238661766, -0.004150012042373419, -0.008228196762502193, -0.03527510166168213, 0.042266275733709335, 0.028060466051101685, -0.020239289849996567, -0.007114876061677933, -0.007881032302975655, 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The same is true of the line that runs northeast through Rio Cuarto.  \nHighways now connect the \"dots\"\u2014and these cities.\n\nThe nighttime image below shows Argentina's nightlights as observed by the VIIRS DNB on the Suomi NPP satellite in 2016. The natural-color image on the left shows the same area by day with a cloudless composite from the MODIS instruments on the Aqua and Terra satellites. Fields for growing crops and raising cattle dominate the landscape. Most people reside in the country's main cities, including C\u00f3rdoba and Santa Fe. A mere 10 percent of Argentina's population lives in rural areas, according to the Food and Agriculture Organization of the United Nations.\n\n---\n\n## Figure: Nighttime Satellite View of Urban Structure in Argentina (2016)\n\nThis figure presents a nighttime satellite image of central-eastern Argentina from 2016, highlighting urban settlements and major transportation infrastructure. The bright spots correspond to concentrations of artificial light, indicating population centers and connections between them via highways.\n\n**Key Features Marked:**\n\n| Feature                | Notes                                                         |\n|------------------------|--------------------------------------------------------------|\n| C\u00f3rdoba                | Bright cluster in the central-west of the image              |\n| Santa Fe               | Bright cluster just northeast of C\u00f3rdoba                     |\n| Villa Maria            | Smaller light cluster southeast of C\u00f3rdoba                   |\n| Pan-American Highway   | Bright line segment connecting several clusters              |\n| San Luis               | Cluster southwest of C\u00f3rdoba                                 |\n| Rio Cuarto             | Cluster between Villa Maria and San Luis                     |\n| Rosario                | Large bright cluster east of C\u00f3rdoba, northwest of Buenos Aires |\n| Buenos Aires           | Largest and brightest cluster in the southeast (coastline)   |\n\n**Observations and Interpretation:**\n\n- The brightest areas represent Argentina\u2019s major cities, forming a network of illuminated \u201cdots\u201d connected by visible streaks of light (highways).\n- The Pan-American Highway is visible as a bright, linear feature crossing urban settlements.\n- There are numerous smaller points of light scattered throughout, corresponding to smaller towns.\n- The scale indicator shows an approximate distance of 50 km, providing spatial reference for the distances between cities.\n- Urbanization is highly concentrated; rural areas are much darker, with only minor points of light.\n\n**Summary Table of Relative Brightness and Urban Significance:**\n\n| City/Feature          | Approximate Relative Brightness | Urban/Transport Significance              |\n|-----------------------|:------------------------------:|-------------------------------------------|\n| Buenos Aires          | Very High                      | National Capital, Coastal Metropolis      |\n| C\u00f3rdoba               | High                           | Major Interior City                       |\n| Rosario               | High                           | Major River City, Agricultural Hub        |\n| Santa Fe              | Medium-High                    | Provincial Capital                        |\n| San Luis              | Medium                         | Regional City                             |\n| Villa Maria           | Low-Medium                     | Smaller City, Connected by Highway        |\n| Rio Cuarto            | Low-Medium                     | Smaller City, Agricultural Center         |\n| Pan-American Highway  | Linear Light Feature           | Major National Transportation Route       |\n| Rural/Field areas     | Very Low/Dark                  | Dominated by agriculture and open lands   |\n\n**Figure Description:**  \nA nighttime satellite composite (2016) highlights illuminated urban regions and major transport lines in central and eastern Argentina, revealing the spatial structure and interconnections of major population centers.\n\n---\n\n<!-- PageNumber=\"105\" -->", "page_embedding_text_3_large": [0.009312857873737812, 0.018489539623260498, -0.008367197588086128, 0.013322454877197742, -0.0008340719505213201, -0.038038220256567, 0.026281775906682014, 0.011680789291858673, -0.022529399022459984, -0.007727931719273329, -0.007482060231268406, 0.06663496792316437, -0.007342102471739054, -0.023346448317170143, -0.03719090670347214, 0.0073496680706739426, -0.027159349992871284, 0.025373943150043488, -0.008896767161786556, -0.0028766971081495285, 0.00023724240600131452, -0.002176908776164055, -0.03144129738211632, 0.011007480323314667, 0.0018014819361269474, 0.030155198648571968, 0.000546118535567075, 0.011885052546858788, 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"earth_at_night_508_page_122_verbalized", "page_chunk": "<!-- PageHeader=\"Urban Structure\" -->\n\n### A Well-Lit Border, Indus River-Pakistan\n\nLike the Nile River Valley (shown on page 94), the Indus River Basin in Pakistan is an ancient seat of civilization. In spite of the arid conditions that make it difficult to grow food in the rest of the region, people have lived and farmed in the river's fertile floodplain for millennia. In modern times, the sinuous shape of the Indus River emerges even in nighttime satellite imagery, based on data collected in 2016 by the VIIRS DNB on the Suomi NPP satellite. Though the river itself is only barely visible, the dark crops and vegetation growing along its banks help reveal the general shape of the river. The brighter, more reflective land beyond the dark band of farmed land is desert. Many of the largest cities and towns in Pakistan are clustered along the Indus. Karachi lies along the southernmost stretch of the river, near where it empties into the Arabian Sea at the Indus River Delta. Other brightly lit cities along the river include Hyderabad, Larkana, and Sukkur. The border between Pakistan and India stands out among the nightlights of this region. For security purposes, India has installed thousands of kilometers of floodlights along the border, a feature bright enough to be seen from the ISS.\n\n#### Figure 1: Location of the Indus River Basin\n\nThis figure is a world map with a marker showing the location of the Indus River Basin in Pakistan, indicating South Asia.\n\n#### Figure 2: Nighttime Satellite Imagery of Pakistan (2016)\n\nThe second figure presents a nighttime satellite image of southern Pakistan around the Indus River Basin from 2016, with the following features:\n\n- The image is vertically oriented, with north at the top.\n- Most of the image is a dark blue/black, indicating the sparsely populated deserts of Pakistan.\n- In the lower portion, a strong concentration of bright lights is visible, centered at Karachi, a major city near the Arabian Sea.\n- Additional smaller points of light indicate other urban settlements, but Karachi is by far the brightest.\n- The urban lights follow the shape of the Indus River, forming a sinuous line northward from Karachi.\n- The arrow in the lower left indicates north, and a scale bar shows a distance of 100 km.\n\n| Year | Region   | Major City Highlighted | Notable Features                       |\n|------|----------|-----------------------|----------------------------------------|\n| 2016 | Pakistan | Karachi               | Dense cluster of night lights; brightest area in the region; river-following settlements; border lights visible between India and Pakistan |\n\n---\n\n## 106 Earth at Night", "page_embedding_text_3_large": [-0.0020153920631855726, 0.024345172569155693, -0.009513414464890957, 0.0014165054308250546, 0.009108426049351692, -0.03472205251455307, 0.02150261029601097, 0.015443061478435993, -0.04471686854958534, -0.046734172850847244, 0.01853778585791588, 0.038726091384887695, 0.028165820986032486, -0.04661191254854202, -0.03725896403193474, 0.0017947496380656958, -0.015336083248257637, 0.01117157656699419, -0.009200121276080608, 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City lights reveal patterns of urbanization and delineate the Indus River corridor distinctly against darker, less-populated areas.\n\n### Geographic Features and Cities:\n\n- **Indus River**: Tracing a bright, illuminated path through the region, the Indus River valley is densely populated and heavily lit.\n- **Major Cities Marked**:\n  - **Larkana**: A bright cluster located near the upper left, adjacent to the Indus River.\n  - **Sukkur**: Located to the southeast of Larkana, also along the river.\n  - **Hyderabad**: The most significant light cluster in the southern part of the map, indicating a major urban center.\n- **International Border**: Marked by a dotted line of lights, defining the border between Pakistan (on the left) and India (on the right).\n- **India**: Marked clearly on the right side, with scattered clusters of light showing cities and towns.\n\n### Interpretation of Lights\n\n- The cities of Larkana, Sukkur, and Hyderabad are identifiable by their bright illumination, showing concentrated population centers.\n- The linear concentration of lights along the Indus River corridor underscores a pattern of urban and semi-urban settlements following major water sources.\n- The dotted line of illumination marking the international border is especially prominent, demarcating the boundary between the two countries even at night.\n- The regions beyond the river toward India are notably less illuminated except for a few urban clusters, reflecting lower population density or less electrification.\n\n---\n\n<!-- PageNumber=\"107\" -->", "page_embedding_text_3_large": [-0.010649064555764198, 0.00516878068447113, -0.016183679923415184, 0.025354914367198944, 0.00040250926394946873, -0.04297295957803726, 0.021399548277258873, 0.01774843968451023, -0.03885821998119354, -0.05708478018641472, 0.017864348366856575, 0.059460896998643875, 0.022196417674422264, -0.03596051409840584, -0.04062581807374954, -0.013800318352878094, -0.012909273616969585, 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The highlighted location represents the geographical focus of the text discussion on US urban development and transportation networks.\n\n---\n\n## Urban Development\n\n### Lighting Paths\u2014Across the United States\n\nThe United States has more miles of roads than any other nation in the world\u20144.1 million miles (6.6 million kilometers) to be precise, which is roughly 40 percent more than second-ranked India. About 47,000 miles (75,639 kilometers) of those roads are part of the Interstate Highway System, established by President Dwight Eisenhower in the 1950s. The country also has 127,000 miles (204,000 kilometers) of railroad tracks and about 25,000 miles (40,000 kilometers) of navigable rivers and canals (not including the Great Lakes). The imprint of that transportation web becomes easy to see at night.\n\nThe VIIRS DNB on the Suomi NPP satellite acquired this nighttime view (top image, right) of the continental United States on October 1, 2013. The roadway map (bottom image, right) traces the path of the major interstate highways, railroads, and rivers of the United States. Comparing the two images, you quickly see how the cities and settlements align with the transportation corridors. In the early days of the republic, post roads and toll roads for horse-drawn carts and carriages were built to connect eastern cities like Boston, New York, Baltimore, and Philadelphia, though relatively few travelers made the long, unlit journeys. Railroads became the dominant transportation method for people and cargo in the middle of the nineteenth century, establishing longer links across the Nation and waypoints across the Midwest, the Great Plains, and the Rockies. Had nighttime satellite images existed in that era, they probably would show only dim pearls of light around major cities in the east and scattered across the country; the strands of steel tracks and cobbled roads that connected them would be invisible from space.\n\nEventually, cars and trucks became the dominant form of transportation in the United States. Drivers then needed roads and lighting to keep them safe on those roads. As the Nation grew in the twentieth century, the development of new cities and suburbs often conformed to the path of the interstate highways, adding light along the paths between the cities.\n\nOver the years, the length of navigable rivers has been a constant, as is their relative lack of light. Even today the only light seems to be the occasional port cities along riverbanks and the light of ships themselves.\n\n---\n\n**Table: Summary of U.S. Transportation Infrastructure**\n\n| Infrastructure Type     | Total Mileage (mi) | Total Mileage (km) |\n|------------------------|--------------------|--------------------|\n| Roads (All)            | 4,100,000          | 6,600,000          |\n| Interstate Highways    | 47,000             | 75,639             |\n| Railroads              | 127,000            | 204,000            |\n| Navigable Rivers/Canals| 25,000             | 40,000             |\n\n---\n\n<!-- PageFooter=\"108 Earth at Night\" -->", "page_embedding_text_3_large": [-0.006202106364071369, 0.021384956315159798, -0.013943991623818874, 0.007839587517082691, -0.0005969576304778457, -0.06215393915772438, 0.038830578327178955, 0.037454936653375626, -0.04211335629224777, 0.010028106160461903, 0.007038433104753494, 0.056901492178440094, 0.03729861602187157, 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Major observations include:\n\n- A dense concentration of bright spots representing urban and suburban areas with prominent lighting, especially along the east coast, the Midwest (notably around Chicago), Texas, and California.\n- The west and central parts of the country, such as the Rocky Mountains and deserts, appear much darker, indicating sparse population and fewer urban centers.\n- The boundaries of the United States are outlined for reference.\n- Major urban corridors are clearly visible, including the heavily lit regions running from Boston through New York City, Philadelphia, Baltimore, D.C., Atlanta, and further south, as well as the line of cities from Los Angeles through southern California.\n\n### Bottom Panel: Major Transport and River Networks\n\nThis map outlines the primary interstate highways, railroad lines, and major river systems in the continental United States, using different colors to distinguish among them:\n\n| Feature    | Color       | Description                                                                       |\n|------------|-------------|-----------------------------------------------------------------------------------|\n| Interstate | Red         | Key high-speed roadways, forming a vast national network and connecting cities     |\n| Railroad   | Green       | Major rail lines paralleling some highway routes, providing freight and passenger service |\n| River      | Blue        | Major river systems used historically for transport, industry, and urban siting    |\n\n- The locations of interstate highways closely follow the distribution of nighttime lights, as seen in the top panel.\n- Railroad networks are especially dense in the Midwest and northeast, regions with both high population density and industrial activity.\n- Major rivers, such as the Mississippi, Missouri, and Ohio, are marked in blue, reflecting their importance for historical urban development.\n\n**Scale:** Both maps include a scale bar representing 500 km and a North arrow for orientation.\n\n---\n\n**Summary:**  \nThe figure visually demonstrates the relationship between urban development (as observed through nighttime satellite imagery) and the underlying networks of interstates, railroads, and rivers that have historically influenced the growth and connectivity of American cities. Most urbanized and densely lit areas correspond to nodes and crossroads within this transportation and river network.\n\n---\n\n**Page 109**", "page_embedding_text_3_large": [0.0037973751313984394, 0.015353922732174397, -0.01332604605704546, 0.013772335834801197, -0.00013983246753923595, -0.07691837847232819, 0.030535593628883362, 0.04087071865797043, -0.03582843020558357, 0.00130363495554775, 0.005731295794248581, 0.049483321607112885, 0.0409020371735096, -0.023441940546035767, -0.013075497932732105, 0.007747428026050329, -0.03723776340484619, 0.003280618926510215, -0.00702710123732686, 0.014249943196773529, -0.005876144394278526, -0.014038543216884136, -0.04315697029232979, 0.011681822128593922, -0.010209850035607815, 0.01464142557233572, -0.00552772544324398, 0.02290952391922474, -0.04202950373291969, 0.014829336665570736, 0.010084575042128563, 0.028452908620238304, 0.02129661850631237, -0.03720644488930702, 0.01670845039188862, 0.006760893389582634, 0.023066116496920586, 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established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, making this one of the fastest growing metropolitan areas in the world. The series of false-color Landsat images (not shown here) demonstrate the rapid urbanization of Las Vegas between 1972 and 2018. In these images, the city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has extended the city's reach into the desert.\n\nWhile the city is famous for its casinos and resort hotels\u2014Las Vegas bills itself as \"the entertainment capital of the world\"\u2014the wider metropolitan area includes several other incorporated cities and unincorporated areas (not part of a state-recognized municipality). \n\n#### Location\n\nLas Vegas, Nevada, is located in the southwestern region of the United States, as indicated on the globe below:\n\n- Map verbalization: The image shows a globe with North America centered. A marker indicates the approximate location of Las Vegas in the western part of the United States, in the state of Nevada.\n\n#### Urban Brightness and Night View\n\nThe surrounding darkness of the desert in the astronaut photo from the ISS (not shown here), taken on November 30, 2010, presents a stark contrast to the brightly lit street grid of the developed Las Vegas area. The famous Vegas Strip is reputed to be the brightest spot on Earth due to the concentration of lights on its hotels and casinos. The tarmac of McCarran International Airport (now Harry Reid International Airport) appears dark by comparison, while the airstrips of Nellis Air Force Base on the northeastern fringe are likewise dark. The dark mass of Frenchman Mountain borders the city to the east.\n\n<!-- PageFooter=\"110 Earth at Night\" -->", "page_embedding_text_3_large": [0.016455205157399178, -0.00026685529155656695, -0.0023116369266062975, -0.02929087169468403, 0.010729340836405754, -0.03583037108182907, 0.02363344468176365, 0.028545673936605453, -0.022097423672676086, 0.009930913336575031, -0.004224060103297234, 0.048574790358543396, -0.00808312464505434, -0.07458070665597916, 0.012881292030215263, 0.0027716830372810364, -0.02962545119225979, -0.009307379834353924, 0.02501738630235195, 0.029747115448117256, -0.00017762629431672394, -0.0004550559679046273, -0.04781438410282135, -0.011854742653667927, -0.007185844704508781, 0.030431482940912247, -0.0009419539710506797, 0.027557143941521645, -0.0008302692440338433, 0.0033324831165373325, 0.01931433379650116, 0.006261950358748436, 0.012790042906999588, -0.013732947409152985, -0.00512514216825366, 0.03096376731991768, 0.04185279458761215, 0.02615799568593502, 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illustrates the urban development of the Las Vegas region from 1972 to 2018, followed by a night-time city lights image from 2010. The images include annotations of key locations: Las Vegas Strip, McCarran Airport, Nellis Air Force Base, and Frenchman Mountain.\n\n### Las Vegas Urban Growth by Year (from Landsat imagery)\n\n| Year    | Satellite/Sensor  | Urban Area Extent (Visual Notes)                 |\n|---------|-------------------|--------------------------------------------------|\n| 1972    | Landsat 1 MSS     | Small urban core; sparse development             |\n| 1978    | Landsat 2 MSS     | Growth apparent; expansion mostly west and north |\n| 1984    | Landsat 5 TM      | First notable increase in urban spread           |\n| 1990    | Landsat 5 TM      | Rapid westward expansion, red indicating vegetation/development |\n| 1996    | Landsat 5 TM      | Further growth, city core expands significantly  |\n| 2002    | Landsat 5 TM      | Extensive infilling and suburbs develop          |\n| 2008    | Landsat 5 TM      | Development dense; urban area continues to grow  |\n| 2015    | Landsat 8 OLI     | Continued sprawl, much of valley now developed   |\n| 2018    | Landsat 8 OLI     | Urban area fills viewable basin surrounding Las Vegas |\n\nAll images above were captured at the same scale (N, 5 km scale bar included) and oriented with north upward.\n\n### Las Vegas by Night (November 30, 2010)\n\n- The night-time image shows extensive city lights outlining the urban grid of Las Vegas.\n- Key landmarks labeled:\n    - **Las Vegas Strip**: Densely lit central area.\n    - **McCarran Airport**: To the south-west of city center.\n    - **Nellis Air Force Base**: To the north-east of the urban area.\n    - **Frenchman Mountain**: Labeled to the far east, beyond the dense urban grid.\n- The grid layout of Las Vegas is strongly visible due to the street lighting.\n- Areas outside the city are very dark, showing the desert boundary.\n\n### Description\n\nThis figure sequence demonstrates the dramatic urban sprawl of Las Vegas over a period of almost 50 years, from a modest settlement with well-defined boundaries to a sprawling metropolitan area covering a vast area of the desert valley. The night-time image highlights the dense network of city lights corresponding to the developed urban grid, with major infrastructures and landmarks clearly visible.\n\n---\n\n<!-- PageNumber: 111 -->", "page_embedding_text_3_large": [0.014681724831461906, 0.00837190356105566, -0.011206302791833878, -0.018705489113926888, 0.013399680145084858, -0.035742778331041336, 0.017006395384669304, 0.040407564491033554, -0.03941900283098221, -0.0032784808427095413, -0.010549834929406643, 0.030506476759910583, 0.012534686364233494, -0.05381496995687485, 0.002693451475352049, -0.004062381573021412, -0.019941195845603943, 0.010580726899206638, 0.019230665639042854, 0.012171697802841663, -0.010704297572374344, -0.02448241226375103, -0.052177660167217255, -0.0003217178164049983, 0.0036318153142929077, 0.023988129571080208, 0.0005440000095404685, 0.030830848962068558, -0.005321256350725889, 0.012387946248054504, 0.0141642726957798, 0.011777816340327263, 0.008557260036468506, -0.004398338962346315, 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Rapid Urban Growth\u2014Shanghai, China\n\nThese nighttime photographs taken by astronauts onboard the International Space Station (ISS) reveal the unprecedented growth of Shanghai, China, between March 10, 2003 (shown below) and February 28, 2018. The city of Shanghai sits along the delta banks of the Yangtze River along the eastern coast of China. The city proper is the world's most populous city.  \n\nThe surge in China's urbanization began in the 1980s when the Chinese government began opening the country to foreign trade and investment. As markets developed in \"special economic zones,\" villages morphed into booming cities and cities grew into sprawling megalopolises. In 1982, Shanghai was a relatively compact industrial city of 12 million people; however, that number grew to 24 million by 2016. Much of the growth is reflected in the urban expansion visible in nighttime satellite images.\n\n---\n\n### Figure 1. Location of Shanghai, China\n\nA globe highlights the eastern coast of China with a marker pinpointing Shanghai's location near the mouth of the Yangtze River.\n\n---\n\n### Figure 2. Nighttime View of Shanghai Region (March 10, 2003)\n\nThis nighttime astronaut image (dated March 10, 2003) shows the Shanghai metropolitan area and adjacent regions. The illuminated areas indicate concentrations of urban development as visible from space. Major geographic and urban features are labeled as follows:\n\n- **Suzhou** (northwest of Shanghai)\n- **Shanghai** (central region of the image, brightly lit)\n- **Pudong** (east/southeast of Shanghai, also brightly lit)\n- **Yangtze River** (to the northeast of Shanghai)\n- **Huangpu River** (flows through Shanghai)\n- North arrow is also shown for orientation.\n\nThe image illustrates the compact yet bustling urban zone as of 2003, prior to the explosive urban and suburban growth over the following decade and a half.\n\n---\n\n*(Note: While this page references a comparative 2018 image, only the 2003 image and location globe are provided here.)*\n\n---\n\n<!-- PageFooter=\"112 Earth at Night\" -->", "page_embedding_text_3_large": [-0.01047904510051012, 0.02752455323934555, -0.00850000698119402, -0.004049066454172134, 0.019289935007691383, -0.04558612033724785, 0.03575917333364487, 0.04355400428175926, -0.024203408509492874, -0.0008686726214364171, 0.0006260319496504962, 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-0.008113297633826733, 0.0179250817745924, 0.025371117517352104, -0.0038026345428079367, 0.006012939382344484, -0.02916237711906433, -0.011388947255909443, -0.012056209146976471, -0.01358029618859291, -0.007825162261724472, 0.011927306652069092, -0.009675297886133194, -0.008340774103999138, -0.011987966485321522, -0.007423288654536009, 0.007802414707839489, -0.008219453506171703, 0.012025878764688969], "page_number": 128}, {"id": "earth_at_night_508_page_129_verbalized", "page_chunk": "# Urban Development\n\nThe rapid pace of development has changed Shanghai's natural ecosystems. Wetlands in the region have declined due to sea level rise, erosion, dredging, and the construction of water-storage infrastructure. The creation of new coastal land\u2014by piling sediment onto tidal flats in a process called land reclamation\u2014has also played a key role. Despite the dizzying pace of urbanization, there are signs that Shanghai's growth may be tapering off. Officials announced that they will cap the city's population at 25 million in the hopes of easing the pressure on the environment, infrastructure, and city services.\n\nA notable portion of this urban growth has occurred in new satellite developments, like areas to the west of the city (for example, Suzhou, at the upper left of the image described below).\n\n---\n\n## Figure: Nighttime Satellite View of Shanghai and Surroundings (February 28, 2018)\n\n**Description:**  \nThis satellite image taken at night on February 28, 2018, shows the brightly lit urbanized area of Shanghai and its surrounding regions. Key locations\u2014including Suzhou to the northwest, the Yangtze River to the northeast, the Huangpu River flowing through the city, Pudong (east of the river), and the core city of Shanghai in the center\u2014are marked. \n\n- **Suzhou:** Located to the northwest and visible as a well-lit urban mass.\n- **Shanghai:** The largest, brightest concentration is centered in the image.\n- **Pudong:** Lies to the east/southeast of Shanghai city center, also heavily illuminated.\n- **Yangtze River:** Flows northeast of the city, demarcated in the image.\n- **Huangpu River:** Splits the city, flowing from southwest to northeast.\n\nThe image demonstrates the intense development and urban sprawl westward from the core of Shanghai, incorporating new satellite city areas such as Suzhou. The illuminated road networks and built-up areas reflect rapid urban growth patterns.\n\n---\n\n**Note:**  \nIf this were a physical document with figures, this section would reference an annotated nighttime satellite image as described above, showing Shanghai's sprawling development and clear demarcation of neighboring urban areas and major water bodies.  \n\n---\n\nPage 113", "page_embedding_text_3_large": [-0.029478300362825394, 0.0187328290194273, -0.007441317662596703, -0.0037146802060306072, 0.021124254912137985, -0.038007717579603195, 0.027899960055947304, 0.024009907618165016, -0.03819902986288071, -0.011710011400282383, 0.008433759212493896, 0.02879275754094124, 0.026449160650372505, -0.04610667750239372, -0.007796045858412981, -0.0013511552242562175, -0.00473103579133749, 0.0007014846778474748, 0.0146514642983675, 0.024743277579545975, -0.01520946342498064, -0.03145521134138107, -0.06421773880720139, -0.001810508081689477, -0.010043985210359097, 0.02871304377913475, 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{"id": "earth_at_night_508_page_12_verbalized", "page_chunk": "## Preface\n\nTo keen observers, the nocturnal Earth is not pitch black, featureless, or static. The stars and the Moon provide illumination that differs from, and complements, daylight. Natural Earth processes such as volcanic eruptions, auroras, lightning, and meteors entering the atmosphere generate localized visible light on timescales ranging from subsecond (lightning), to days, weeks (forest fires), and months (volcanic eruptions).\n\nMost interesting and unique (as far as we know) to Earth, is the nighttime visible illumination emitted from our planet that is associated with human activities. Whether purposefully designed to banish darkness (such as lighting for safety, industrial activities, commerce, and transportation) or a secondary result of (such as gas flares associated with mining and hydrocarbon extraction activities, or nocturnal commercial fishing), anthropogenic sources of nighttime light are often broadly distributed in space and sustained in time\u2014over years and even decades. Because these light sources are inextricably tied to human activities and societies, extensive and long-term measurement and monitoring of Earth's anthropogenic nocturnal lights can provide valuable insights into the spatial distribution of our species and the ways in which society is changing\u2014and is changed by\u2014the environment on a wide range of time scales.\n\nOver the past four decades, sensitive imaging instruments have been operated on low-Earth-orbiting satellites to measure natural and human-caused visible nocturnal illumination, both reflected and Earth-generated. The satellite sensors provide unique imagery: global coverage yet with high spatial resolution, and frequent measurements over long periods of time.\n\nThe combined, multisatellite global nocturnal illumination dataset contains a treasure trove of unique information about our planet and our species\u2014and the", "page_embedding_text_3_large": [0.01431855745613575, -0.019586089998483658, -0.017449721693992615, -0.009042870253324509, 0.008635166101157665, -0.031001796945929527, 0.0038650319911539555, 0.051794689148664474, -0.024445919319987297, 0.019259927794337273, 0.05032695457339287, 0.009222259745001793, 0.0064661819487810135, -0.025750571861863136, -0.016626160591840744, 0.019357776269316673, -0.017661727964878082, -0.01847713626921177, 0.006739343516528606, 0.004982140380889177, -0.013152523897588253, -0.026647519320249557, -0.05322980880737305, 0.01797158271074295, 0.03124641813337803, 0.025913653895258904, 0.032012902200222015, 0.014277786947786808, -0.015052423812448978, 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-->\n\n### Turning Up the Lights-India\n\nImages of Earth at night are being used by scientists and decision-makers to monitor gradual changes driven by urbanization and electrification. Upon assuming leadership in 2014, India's Prime Minister Narendra Modi pledged to electrify the nation and, in 2015, launched a program to electrify every village in the country. The image on the left (below) and the middle image (below) were created using two separate nightlight datasets from the VIIRS DNB on the Suomi NPP satellite for 2012 and 2016, respectively. The image on the right (below) shows the change in lighting intensity that results from\n\n#### Figure 1: Locator Map of India\n\nA globe with a pin marking the location of India. The map provides geographical context for the nightlight images that follow.\n\n#### Figure 2: Nighttime Lights in Lucknow, India (2012)\n\nA satellite image shows the nighttime lights of northern India in 2012. Bright clusters are visible, indicating urban areas and electrification, with a specific highlight on Lucknow, India. The city is clearly illuminated, but the extent and ring of surrounding lights are spatially less pronounced compared to 2016.\n\n- Year: 2012\n- Location: Lucknow, India\n- Observation: Areas of electrification appear as bright points, concentrated around major cities and along certain corridors. Rural areas appear much dimmer or dark.\n\n#### Figure 3: Nighttime Lights in Lucknow, India (2016)\n\nA satellite image displays the nighttime lights in the same region of northern India for the year 2016. The urban core of Lucknow is brighter and the area covered by illuminated points is larger, indicating an expansion of electrification and urbanization over the four-year period.\n\n- Year: 2016\n- Location: Lucknow, India\n- Observation: There is a clear increase in brightness and the area of illuminated regions surrounding Lucknow. More rural areas are visibly lit compared to 2012, suggesting effective implementation of nation-wide electrification programs.\n\n**Summary Table: Change in Nighttime Lighting (Lucknow, India Urban Area and Surroundings)**\n\n| Year | Area Observed | Urban Core Brightness | Surrounding Area Brightness | Rural Lighting, Villages | Electrification Coverage (%) |\n|------|--------------|----------------------|-----------------------------|--------------------------|-----------------------------|\n| 2012 | Lucknow & environs | Moderate | Limited | Sparse | Data not specified |\n| 2016 | Lucknow & environs | High | Expanded | Noticeable increase | Data not specified |\n\n- Between 2012 and 2016, there was a clear, substantial increase in nighttime light intensity and extent, reflecting the progress in electrification of villages and expansion of urban infrastructure.\n\n<!-- PageFooter=\"114 Earth at Night\" -->", "page_embedding_text_3_large": [-0.008676888421177864, 0.029744843021035194, 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Purple shades indicate areas that have more lights in 2016 than in 2012. Huge swaths of northern India\u2014relatively dark in the 2012 night image\u2014are lit up in the image from 2016. Orange shades indicate areas that have become dimmer since 2012. The dark area to the north (top) of the images is Nepal, which is almost completely lacking in observable lighting, clearly demonstrating the differences in stages of development between the two countries. To view global changes in lighting intensity from 2012 to 2016, see page 26 of this volume.\n\n---\n\n## Figure 1\n\n**Nighttime Lights over Northern India and Nepal**\n\nThis figure shows a satellite image of India and Nepal at night, as seen from space. The image highlights the stark contrast between regions of northern India, which are heavily illuminated, and Nepal to the north, which appears almost completely dark. The bright clusters indicate cities and urbanized areas with significant artificial lighting, while the darker regions represent rural or less developed areas.\n\n**Key Observations:**\n- Northern India is densely covered by illuminated sources, indicating significant urbanization and infrastructure.\n- The region to the north (Nepal) is largely dark, reflecting low levels of electrification and development.\n- Bright spots correspond to major cities and urban centers.\n\n---\n\n## Figure 2: Change in Nightlights (2012\u20132016)\n\n**Caption:**  \n**Change in Nightlights (2012\u20132016) \u2013 Lucknow, India**\n\nThis figure visualizes changes in nighttime lights from 2012 to 2016, highlighting the area around Lucknow, India.\n\n**Description and Interpretation:**\n\n- **Color Legend:**  \n  - **Purple Shades:** Areas that have gained lighting between 2012 and 2016 (new lights or increased brightness).\n  - **Orange Shades:** Areas that have lost lighting or become dimmer in the same period.\n  - **Black/Near-Black:** Areas with little to no observable change or persistent darkness (e.g., much of Nepal).\n- **Geographic Focus:**  \n  - The image is centered on Lucknow, India, labeled on the map.\n  - A large area of northern India shows widespread increases in lighting, suggesting substantial electrification and urban development from 2012 to 2016.\n  - Nepal (to the north of Lucknow) remains almost dark, continuing to show minimal development in nightlight intensity.\n\n**Summary Table: Interpreted from the Figure**\n\n| Area                          | 2012 (nightlights) | 2016 (nightlights) | Observed Change (2012\u20132016)         | Interpretation                         |\n|-------------------------------|--------------------|--------------------|--------------------------------------|----------------------------------------|\n| Lucknow, India                | Moderate           | High               | Significant Increase (purple)        | Urban expansion, infrastructure growth |\n| Northern India (general)      | Varied, mostly low | Moderate to high   | Widespread Increase (purple)         | Electrification, rural development     |\n| Nepal (neighbor to the north) | Very low           | Very low           | No significant change (black)        | Persistent development gap             |\n| Isolated orange spots         | Low - moderate     | Decreased          | Localized Decrease (orange)          | Depopulation, infrastructure loss      |\n\n**Compass:**  \nA north orientation arrow (N) is present for geographic reference.\n\n---\n\n*PageFooter: \"lights out\", \"no change\", \"new lights\"*  \n*PageNumber: 115*", "page_embedding_text_3_large": [-0.010924043133854866, 0.012905044481158257, -0.01019849069416523, 0.01992414891719818, 0.005437564570456743, -0.03414170816540718, -0.004304398782551289, 0.0274079330265522, -0.029201433062553406, -0.02416332997381687, 0.027391629293560982, 0.00868216808885336, 0.019141530618071556, 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-0.009603374637663364, 0.033815618604421616, 0.007818027399480343, 0.004288094583898783, 0.004944351967424154, -0.029234042391180992, -0.022532876580953598, -0.005347889382392168, -0.005535391625016928, -0.0024681000504642725, -0.003536047413945198, 0.006974267773330212, 0.011559919454157352, -0.007654982153326273, 0.0013206677976995707, 0.0014775990275666118, -0.015733882784843445, 0.004765002056956291], "page_number": 131}, {"id": "earth_at_night_508_page_132_verbalized", "page_chunk": "# Urban Development\n\n## Olympics at Night \u2013 Sochi, Russia\n\nThree months after an out-of-this-world handoff of the event-opening Olympic torch outside their orbiting home, the astronauts and cosmonauts on the ISS got to look down on that flame from above. On the evening of February 10, 2014, an ISS Expedition 38 crew member captured this digital photograph of Sochi, Russia, along the coast of the Black Sea.\n\nIn the image, the Olympic flame burns in the circular Medals Plaza, ringed in gold and bright white lighting in the center of the Olympic Park. The oval-shaped Fisht Olympic Stadium is lit in blue and stands near the shore to the south. (Note that, owing to the orbit of the ISS, south is to the right in this image.) The Adler Arena Skating Center and the Iceberg Skating Palace both appear as black rectangles north and east of the Medals Plaza, and the Bolshoy Ice Dome has a pink tint and stands to the west. The A-class European Highway, E97, cuts diagonally through the image as it connects the north and south Black Sea regions.\n\n---\n\n### Figure 1: Location of Sochi, Russia\n\nA globe showing the location of Sochi, Russia, marked with a pin. Sochi is situated on the northeastern coast of the Black Sea, near the western border of Russia.\n\n---\n\n### Figure 2: Sochi at Night, February 10, 2014\n\nA nighttime satellite image shows illuminated infrastructure in and around Sochi, Russia, including:\n\n- A bright, elongated area labeled **Sochi Airport (Adler)** near the center-right of the image.\n- Several brightly lit streets and structures radiating through the urban area.\n- Concentrated lighting indicating the Olympic Park venues, Medals Plaza, and key buildings.\n- The E97 highway cutting through the area.\n- The Schwarz Sea's coastline, delineated by the presence of lights and dark water boundary.\n\n**Summary Table of Key Features Identified in the Nighttime Image:**\n\n| Feature                                | Description/Location             | Illumination Color/Pattern |\n|:--------------------------------------- |:-------------------------------- |:-------------------------- |\n| Medals Plaza                           | Center of Olympic Park           | Circular, gold/white ring  |\n| Fisht Olympic Stadium                  | Near the shore, south            | Oval, blue lighting        |\n| Adler Arena Skating Center              | North/east of Medals Plaza       | Black rectangle            |\n| Iceberg Skating Palace                 | North/east of Medals Plaza       | Black rectangle            |\n| Bolshoy Ice Dome                       | West of Medals Plaza             | Pink-tinted structure      |\n| Sochi Airport (Adler)                  | Right of main cluster            | Bright, linear structure   |\n| E97 European Highway                   | Diagonal axis through image      | Bright, linear lighting    |\n\n---\n\n**Date of image:** February 10, 2014\n\n---\n\n<!-- PageFooter=\"116 Earth at Night\" -->", "page_embedding_text_3_large": [5.1985069148940966e-05, -0.001246161642484367, -0.012226789258420467, -0.008335370570421219, 0.003121817484498024, -0.05695836618542671, 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The bright central area represents the Olympic Park, flanked by several major buildings and transportation corridors.\n\n### Labeled Features in the Area:\n\n- **E97 highway:** A major road running across the upper part of the illuminated sites.\n- **Medal Plaza:** Central area for medal ceremonies.\n- **Adler Arena Skating Center:** Venue for speed skating events, located to the left of Medal Plaza.\n- **Iceberg Skating Palace:** Indoor arena for skating sports, situated to the right of Medal Plaza.\n- **Fisht Olympic Stadium:** Large stadium, positioned slightly below the Iceberg Skating Palace.\n- **Bolshoy Ice Dome:** Dome-shaped venue, located near Adler Arena.\n- **Olympic Park:** The overall area encompassing the central illuminated venues.\n- **Black Sea:** The dark region labeled \"Black Sea\" lies on the lower and right sides of the illuminated area, indicating proximity of the venues to the coastline.\n- **N (North arrow):** Indicates orientation, with north pointing to the lower right.\n\nThis satellite image visualization underscores the concentrated development and infrastructure constructed for sporting events, clustered between urban development (left and upper portions of the image) and the Black Sea coastline.\n\n---\n\n*Page 117*", "page_embedding_text_3_large": [0.0005068698083050549, 0.015475879423320293, -0.011510848999023438, -0.007803342305123806, 0.0019600328523665667, -0.05179882422089577, 0.029954370111227036, 0.027681630104780197, -0.038979921489953995, -0.006716024596244097, -0.001313160639256239, 0.01668582670390606, -0.0050932238809764385, -0.023773828521370888, -0.004373795818537474, -0.014135126955807209, -0.020765310153365135, -0.0016013405984267592, -0.018476221710443497, 0.0025568311102688313, -0.01218122523277998, -0.01903214305639267, -0.006409450434148312, -0.026929501444101334, -0.004418760072439909, 0.005387535318732262, 0.005661408416926861, 0.017953000962734222, -0.00803225114941597, 0.007950497791171074, 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Outages\" -->\n\n## Power Outages\n\n### Hurricane Maria\n\n#### Hurricane Maria into the Night\u2014Puerto Rico\n\nThis composite image shows Hurricane Maria on September 20, 2017, as it made landfall near Yabucoa, Puerto Rico. Data from the Geostationary Operational Environmental Satellite 13 (GOES-13) acquired at 6:15 a.m. local time is overlaid on true-color data from the MODIS instruments on the Terra and Aqua satellites and nightlight data from the VIIRS DNB sensor.\n\n#### Figure 1. Hurricane Maria Landfall Location\n\nA globe highlights Puerto Rico\u2019s location in the Caribbean Sea, just east of the Dominican Republic and south of the United States mainland. The focus pinpoints where Hurricane Maria made landfall.\n\n#### Figure 2. Nighttime Satellite Imagery on September 20, 2017\n\nThis satellite image shows the region at night on September 20, 2017:\n- The peninsula of Florida glows with widespread clusters of city lights.\n- The island of Cuba, the Bahamas, and surrounding islands in the Caribbean also show nighttime illumination.\n- Puerto Rico is visible to the southeast of Florida, with noticeably dimmer or absent lights, illustrating widespread power outages following Hurricane Maria\u2019s landfall.\n- A scale bar indicates a distance of 350 km for geographic reference.\n\n<!-- PageFooter=\"118 Earth at Night\" -->", "page_embedding_text_3_large": [0.011384210549294949, -0.012521873228251934, -0.002423221478238702, 0.0241791233420372, -0.008873768150806427, -0.036617569625377655, 0.023253824561834335, 0.03485798463225365, -0.003985611256211996, 0.019749823957681656, 0.03658723086118698, 0.0005991689977236092, -0.014417978003621101, -0.027925824746489525, -0.014850289560854435, -0.03027699515223503, 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The swirling storm system is distinct, with a well-defined eye located to the southeast of Puerto Rico, highlighting the large scale and intensity of the weather event. The image emphasizes the potential for severe power outages due to such extreme weather events impacting the island.\n\n---\n\nPage 119", "page_embedding_text_3_large": [-0.01773475855588913, -0.019321052357554436, -0.004050996154546738, 0.03696063160896301, -0.020748715847730637, -0.026887670159339905, 0.014681143686175346, 0.018353411927819252, -0.011920993216335773, 0.0023953027557581663, 0.023159882053732872, 0.005214938893914223, -0.006365001667290926, -0.014387679286301136, -0.002960419747978449, -0.02311229333281517, -0.02787117287516594, 0.018178921192884445, 0.03578677400946617, 0.016243642196059227, -0.012634825892746449, -0.010794725269079208, -0.06821060925722122, 0.05247458070516586, -0.012452402152121067, 0.03483499959111214, -0.004572490230202675, 0.008288382552564144, -0.0018500144360587, 0.044923823326826096, 0.037912409752607346, 0.00885944813489914, 0.017845798283815384, -0.004988892003893852, 0.013610395602881908, 0.031123073771595955, 0.010136413387954235, 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Flooding, downed trees, and toppled power lines made many roads impassable. Most of the electricity grid and telecommunications network were knocked offline, leaving 1.5 million people without power. For many locations, power wasn't restored for weeks and even for up to 11 months in some locations. The long power outages, in part, led to historic property, economic, and life losses in the storm's aftermath. While 64 people died from direct storm impacts (i.e., via structural collapse, flying debris, floods, and drownings), an estimated 700 to 8,400 excess deaths were associated with long-duration disruptions to essential services.\n\n#### Location\n\nPuerto Rico is located in the Caribbean, as shown on the globe below:\n\n- The globe image marks Puerto Rico's location in the Caribbean just southeast of the United States mainland and east of the Dominican Republic.\n\n#### Power Restoration After Hurricane Maria\n\nThe number of days neighborhoods across Puerto Rico were without power varied greatly:\n\n- Urban centers such as Caguas and Arecibo recovered much faster than adjacent rural towns, like Gurabo and Utuado.\n- In the San Juan metropolitan area, even within the city, some neighborhoods had power restored sooner than others, based largely on how modern grid connections were and proximity to critical infrastructure such as roads, hospitals, and schools.\n\n##### Verbalized Data Table: Power Restoration Timeline in Different Areas\n\n| Location        | Urban/Rural      | Time to Power Restoration | Notes                                       |\n|-----------------|------------------|--------------------------|---------------------------------------------|\n| Caguas          | Urban            | A few weeks              | Fast recovery, modern grid connections      |\n| Gurabo          | Rural            | Several months           | Slower recovery, less infrastructure access |\n| Arecibo         | Urban            | A few weeks              | Fast recovery, close to key infrastructure  |\n| Utuado          | Rural            | Many months              | Difficult access, delayed repairs           |\n| San Juan (varied neighborhoods)| Urban-Metropolitan | Days to weeks (some areas) to several months (others) | Proximity to critical sites mattered        |\n\n**Key Observations:**\n- Urban neighborhoods near priority services (e.g., hospitals, main roads) saw electricity restored significantly faster than remote or rural areas.\n- Some communities experienced outages lasting nearly a year.\n\n#### Data Source and Monitoring\n\nThe images are derived from data obtained by the VIIRS Day/Night Band (DNB) on the Suomi NPP satellite to generate a data product suite called \"Black Marble.\" This product allows for near-real-time, daily monitoring of nightlights globally, including in big cities and remote areas that may be difficult to reach. The Black Marble product suite detects power outages and tracks the speed of recovery (power restoration).\n\n---\n\n<!-- PageFooter=\"120 Earth at Night\" -->", "page_embedding_text_3_large": [-0.00101446732878685, -0.004978529643267393, -0.00020127359312027693, -0.0038083624094724655, -0.01592200994491577, -0.026598578318953514, 0.03277241811156273, 0.02033189684152603, -0.004920504987239838, 0.01955823227763176, 0.04174692556262016, -0.0016469378024339676, -0.03537192940711975, -0.026149852201342583, -0.0077791945077478886, -0.04258248209953308, -0.021647125482559204, 0.015024560503661633, 0.021569760516285896, 0.013995586894452572, -0.015202502720057964, -0.019217820838093758, -0.04737919941544533, 0.04685311019420624, 0.007492938544601202, 0.0315190814435482, 0.003052105661481619, 0.019604653120040894, 0.0044176229275763035, 0.017562178894877434, 0.03942593187093735, 0.0017919999081641436, 0.016726622357964516, -0.023782439529895782, 0.02324087545275688, 0.007953268475830555, 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displays maps for the following cities in Puerto Rico, showing neighborhood-level data on the \"Number of Days Without Electricity\" following a disaster. The data is visualized with color coding, where yellow indicates areas with \u226430 days without electricity, and dark purple/black indicates areas with \u2265150 days without electricity. Each map includes a distance scale (Caguas, Bayam\u00f3n, Trujillo Alto, Guaynabo, and Carolina: 0\u20133 km; Gurabo and Utuado: 0\u20132 km; Arecibo: 0\u20133 km).\n\nCities represented in the map panels:\n\n| City           | Coloration (Days Without Electricity)                              | Notable Patterns                                        |\n|----------------|------------------------------------------------------------------|---------------------------------------------------------|\n| Caguas, PR     | Mostly pink and purple, with some yellow/orange clusters          | Most neighborhoods without electricity for 30\u2013150 days  |\n| Gurabo, PR     | Largely purple, some pink areas                                  | Mainly 100\u2013150 days or more without electricity         |\n| Arecibo, PR    | Mixed pink and purple, spotty yellow                             | Many areas lost power for 30\u2013150 days                   |\n| Utuado, PR     | Mostly purple, sparse yellow/pink                                | Significant regions out for more than 150 days          |\n| Bayam\u00f3n, PR    | Large areas of yellow and orange, some pink                      | Substantial neighborhoods experienced 30\u201390+ day loss   |\n| Trujillo Alto, PR | More yellow/orange at northern edge, pink elsewhere              | North had shortest outages; rest, 30\u2013150+ days outage   |\n| Guaynabo, PR   | Dense yellow/orange spread throughout                            | Many areas regained power in under 90 days              |\n| Carolina, PR   | Large contiguous yellow/orange, scattered pink/purple             | Broad areas with relatively short outages               |\n\n**Color Scale (Number of Days Without Electricity):**\n\n| Color        | Days Without Electricity   |\n|--------------|---------------------------|\n| Yellow       | \u2264 30 days                 |\n| Orange       | 30-90 days                |\n| Pink         | 90-120 days               |\n| Purple       | 120\u2013150 days              |\n| Black/Dark   | \u2265 150 days                |\n\n*Maps compare scale across cities to understand the duration of blackout periods at the neighborhood level.*\n\n## Description\n\nThese maps show the neighborhood-level variation in the number of days without electricity following a disaster event like Hurricane Maria in Puerto Rico. The high spatial resolution enables identification of the most affected neighborhoods, a capability that previous satellite nightlight products lacked due to corruption by moonlight.\n\nTo effectively respond to storms like Maria, disaster responders need data about who has lost electricity\u2014and for how long. This data must be collected continuously, made available in real time, and resolved at the street or neighborhood level. Such resolution helps decision-makers understand the populations most affected, their capacity to cope, and how to allocate aid efficiently. The Black Marble product suite, when combined with detailed demographic data, can help provide this vital information.", "page_embedding_text_3_large": [0.003610934829339385, -0.008126058615744114, -0.011657440103590488, 0.0006092603434808552, -0.009142786264419556, -0.034615304321050644, 0.0033839175011962652, 0.035049933940172195, -0.010143991559743881, -0.009918914176523685, 0.02890300191938877, -0.00400481978431344, -0.015398376621305943, -0.016516000032424927, 0.001976215513423085, -0.041569408029317856, -0.007466350216418505, 0.01083474513143301, 0.010733848437666893, 0.011292660608887672, -0.027862990275025368, -0.02960151620209217, -0.04427033290266991, 0.03158840537071228, 0.019884396344423294, 0.025379380211234093, -0.005739465355873108, 0.0023846528492867947, -0.019511854276061058, 0.03371499478816986, 0.03337349742650986, 0.01785094104707241, -0.0013427011435851455, -0.025845058262348175, 0.003007495542988181, 0.015033596195280552, 0.03809235617518425, 0.029943013563752174, 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Coast-Southeast United States\n\n**Figure:**\nA global map is shown with a marker pinpointing the southeastern United States, specifically the Florida region. This visualization provides geographic context to the following description, indicating the area affected by Hurricane Matthew.\n\nHurricane Matthew strengthened to a major hurricane on September 30, 2016. After it made landfall in Haiti on October 4, the hurricane leveled entire villages. On October 7, 2016, the storm's western eyewall brushed parts of Florida. This natural-color image was acquired at 12:00 noon (local time) on October 7, 2016 by the MODIS instrument on NASA's Terra satellite. An hour before the image was taken, Matthew was located roughly 35 miles (55 kilometers) northeast of Daytona Beach, Florida, and headed toward the north-northwest at a pace of 13 miles (20 kilometers) per hour. 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A large hurricane system can be seen covering states from Florida up the East Coast to Pennsylvania. The following states are labeled and visible:\n\n- Florida (center of storm)\n- Georgia\n- South Carolina\n- North Carolina\n- Virginia\n- West Virginia\n- Maryland\n- Delaware\n- Pennsylvania\n\nThe hurricane's cloud cover extends through all of these states, indicating the expansive size of the storm and suggesting a potential widespread impact\u2014such as power outages\u2014across the region.\n\nA scale bar in the lower right indicates a distance of 200 km for reference.\n\n---\n\n**Page number:** 123", "page_embedding_text_3_large": [-0.015401835553348064, -0.02084539085626602, -0.008298566564917564, 0.023525293916463852, -0.009372050873935223, -0.0510704442858696, 0.01123732514679432, 0.03249383717775345, -0.014039043337106705, 0.007994032464921474, 0.0046707987785339355, 0.015637848526239395, 0.01425221748650074, 0.00015512229583691806, -0.03185431286692619, -0.003201419487595558, -0.0438225232064724, 0.01891159638762474, 0.035904623568058014, 0.0025923503562808037, 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-0.016444865614175797, -0.005116180516779423, -0.021180378273129463, 0.012897038832306862, 0.012158541940152645, -0.01670372113585472, 0.0036848681047558784], "page_number": 139}, {"id": "earth_at_night_508_page_13_verbalized", "page_chunk": "interactions between society and natural processes. Beyond academic study, Earth nightlight measurements are being used to help save lives and property around the globe, by allowing accurate identification and monitoring of ongoing events like eruptions and fires even in remote locations, and by pinpointing and enabling quantitative tracking of regions of power outage and recovery following extreme weather events and geohazards in populated areas.\n\nEarth at Night tells\u2014in the words of the women and men, the scientists and engineers who are actually designing the instruments and conducting the analyses of Earth's nocturnal illumination imagery\u2014the story of satellite measurements of global light in the night. It shows how ever-increasing instrument capability has improved the sensitivity, accuracy, coverage, and resolution of the observations. Through striking illustrations and clear explanations, the book summarizes many examples of analyses from the satellite nightlight data record\u2014examples that themselves shine light on the ever-changing environment and our human impact on Earth.\n\nThis artful volume reaffirms our human ability to harness technology and science to observe and understand Earth for the benefit of all humankind. Above all, it once again illuminates the beauty and majesty of our home planet\u2014at all hours.\n\n*Michael H. Freilich*\n\nFormer Director, Earth Science Division  \n(October 23, 2010 - February 28, 2019)  \nNASA Science Mission Directorate\n\n<!-- PageNumber=\"xiii\" -->", "page_embedding_text_3_large": [0.011619646102190018, -0.016259435564279556, -0.012604087591171265, 0.008876117877662182, 0.015912460163235664, -0.059034254401922226, 0.03711831197142601, 0.03869987651705742, -0.016864623874425888, 0.02646697126328945, 0.041314296424388885, 0.035665858536958694, 0.015170092694461346, -0.02549866773188114, -0.01153088454157114, 0.024256009608507156, -0.02780645713210106, -0.0183816347271204, -0.018317081034183502, 0.021012192592024803, 0.008004644885659218, -0.03782840073108673, -0.05609706789255142, 0.04134657233953476, 0.0199147816747427, 0.02851654775440693, 0.018865786492824554, 0.004619616083800793, 0.01112742442637682, 0.05809822678565979, 0.03598862513899803, -0.0011538953986018896, 0.011401777155697346, -0.028952283784747124, -0.049254387617111206, -0.013378730975091457, 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After Matthew - Southeast United States\n\nAfter grazing Florida and Georgia, Hurricane Matthew plowed into South Carolina, southeast of McClellanville, as a Category 1 storm. Strong winds, falling trees, and storm surge flooding knocked out power in coastal areas of all three states. From space, the outages were clearly visible\u2014and especially at night. The VIIRS DNB on the Suomi NPP satellite captured three nighttime images of the Atlantic coast under these conditions:\n\n- The image on the top left was acquired at **3:14 a.m. Eastern Daylight Time on October 6, 2016**.\n- The top middle image shows the same area at **3:14 a.m. on October 7**.\n- The top right image was acquired at **2:14 a.m. on October 8**.\n\nInfrared observations collected by the GOES East satellite were layered on the VIIRS data to make the clouds associated with Matthew more visible. Notice how many cities and towns on the eastern coast of Florida lost power on October 7. Notably, Flagler County, Florida, and Calhoun County, South Carolina, experienced significant outages.\n\nAdditionally, a map (bottom right) was created using data from power companies as of October 8, 2016, which illustrated the geographic extent of the outages.\n\n---\n\n### Figure: Location of Hurricane Matthew Impact\n\nA globe centered on North America shows a marker focused on the southeastern United States, pinpointing the region affected by Hurricane Matthew, specifically the coastlines of Florida, Georgia, and South Carolina.\n\n---\n\n**Verbalization of Nighttime Power Outage Imagery:**\n\nWhile the original figure includes satellite imagery and a map, here is a description of what was revealed by the analysis:\n\n- **Night of October 6, 2016:**  \n  Most cities and towns along the east coast of Florida, Georgia, and South Carolina have visible nighttime lights, indicative of regular power conditions.\n\n- **Night of October 7, 2016:**  \n  Widespread darkened areas appear, especially along the eastern coast of Florida. Major reductions in visible lights indicate large-scale power outages. In particular, Flagler County, FL, and Calhoun County, SC, have significant losses of illumination, suggesting major outages.\n\n- **Night of October 8, 2016:**  \n  Some lights are beginning to come back in certain regions, but extensive outages remain visible.\n\n**Summary Table: Timeline of Power Outages by Region**\n\n| Date & Time   | Key Regions Affected    | Observed Outages                 | Notes                        |\n|---------------|------------------------|----------------------------------|------------------------------|\n| Oct 6, 3:14am | SE coastal states      | None widespread                  | Pre-landfall                 |\n| Oct 7, 3:14am | FL east coast          | Widespread, major cities dark    | Post-landfall in FL area     |\n| Oct 8, 2:14am | GA & SC coasts         | Ongoing, some recovery in FL     | Extended outages in SC & GA  |\n\n**County-level Impact (as of Oct 8 data):**\n\n- **Flagler County, Florida:** Major outages, minimal city lights visible from space\n- **Calhoun County, South Carolina:** Major outages, significant loss of illumination\n\n---\n\n**Conclusion**\n\nSatellite images and utility company data together paint a clear picture of the scale and timing of power outages in the southeastern United States following Hurricane Matthew's landfall in October 2016. The outages were so extensive that they could be observed from space, highlighting the vulnerability of coastal infrastructure to major storms.\n\n---\n\n124 Earth at Night", "page_embedding_text_3_large": [0.01007847674190998, -0.01981966570019722, -0.005119544919580221, 0.023690443485975266, -0.008167179301381111, -0.029344025999307632, 0.030596809461712837, 0.03867565095424652, -0.013274678960442543, 0.019080843776464462, 0.05065739527344704, -0.006609232164919376, -0.016157684847712517, -0.003846685402095318, -0.022839192301034927, -0.0007107132696546614, -0.029890110716223717, 0.02126518450677395, 0.03244385868310928, 0.007151301484555006, -0.03543126583099365, -0.031191077083349228, -0.047926969826221466, 0.04002480208873749, -0.0038988846354186535, 0.02817155048251152, 0.0013521621003746986, 0.011973711661994457, 0.008367946371436119, 0.03645918890833855, 0.014848687686026096, 0.012736624106764793, 0.018454452976584435, -0.01551523245871067, 0.004131773952394724, 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showing visible light patterns in the southeastern United States on three subsequent days:\n\n- **October 6, 2016:** Nighttime lights clearly visible along the Southeast U.S. coast, including well-lit areas in Florida, Georgia, and the Carolinas.\n- **October 7, 2016:** Hurricane Matthew is approaching the coast; cloud cover increases, and lights are slightly obscured.\n- **October 8, 2016:** The hurricane has made closer landfall, with extensive cloud cover; there is an apparent reduction in visible lights due to widespread power outages along coastal regions.\n\n_(Images span the eastern coast of the U.S. and show progression of Hurricane Matthew. Scale indicated: 350 km.)_\n\n---\n\n## Figure 2\n\nA map showing counties along the southeastern United States, color-coded to indicate the proportion of customers without power as of 9:30 a.m. EDT, October 8, 2016. Three illustrative counties are annotated:\n\n| County                  | State | Customers Without Power (%) |\n|-------------------------|-------|-----------------------------|\n| Calhoun County          | SC    | 98%                         |\n| Charleston County       | SC    | 26%                         |\n| Flagler County          | FL    | 88%                         |\n\n- The darkest red areas indicate counties with 80\u2013100% customers without power.\n- Other areas range from 20% to 80% out of power, with lighter shades indicating fewer outages.\n- The track of Hurricane Matthew as of 8:00 a.m. EDT, October 8, is indicated near the South Carolina coast.\n\n---\n\n**Key for Coloring on the Map:**\n\n- Deep red: Counties with 80\u2013100% customers without power\n- Red: 60\u201380%\n- Orange-red: 40\u201360%\n- Orange: 20\u201340%\n- Light orange: 0\u201320%\n\n---\n\n**Summary of Table:**\n\n- Calhoun County, SC experienced the highest outage rate at 98%.\n- Flagler County, FL also experienced very high outages at 88%.\n- Charleston County, SC observed a 26% outage rate.\n- Many coastal and near-coastal counties in Florida, Georgia, and South Carolina experienced significant outages due to Hurricane Matthew.\n\n---\n\n**Data as reported at 9:30 a.m. EDT, October 8, 2016.**", "page_embedding_text_3_large": [-0.0008370756404474378, -0.028379445895552635, -0.006884670350700617, 0.03463354334235191, -0.01029566116631031, -0.03248000890016556, 0.038468603044748306, 0.034545041620731354, -0.0039088111370801926, 0.024205129593610764, 0.05112430080771446, -0.014484726823866367, -0.01570899598300457, 0.002291817218065262, -0.02703717350959778, -0.005785778164863586, -0.02144683711230755, 0.03059197962284088, 0.029470961540937424, 0.011991937644779682, -0.05366134271025658, -0.024352632462978363, -0.058764923363924026, 0.023880625143647194, -0.009123018011450768, 0.03646257147192955, -0.006125033367425203, 0.011158550158143044, 0.0076553700491786, 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"page_number": 141}, {"id": "earth_at_night_508_page_142_verbalized", "page_chunk": "# Power Outages\n\n---\n\n## Hurricane Michael\n\n### Florida Slammed by Hurricane Michael \u2014 Florida Panhandle\n\nAt approximately 1:30 p.m. Eastern Daylight Time on October 10, 2018, Hurricane Michael made landfall near Mexico Beach, Florida. Wind speeds were estimated to be 155 miles (250 kilometers) per hour, which made the Category 4 hurricane the strongest on record to hit the Florida Panhandle. In April 2019 the National Hurricane Center announced that it had reclassified Michael as a Category 5 storm with 160-mile (257-kilometer)-per-hour winds. The storm destroyed homes and knocked out electric power in the area. The Geostationary Operational Environmental Satellite 16 (GOES-16) acquired data for the composite image below around 1:00 p.m. Eastern Daylight Time on October 10. GOES-16 data were overlaid on a MODIS Blue Marble image of Earth.\n\n---\n\n### Figure: Location of Hurricane Michael Landfall\n\n*Description*:  \nA globe focused on North America shows a location marker pinpointing the region of the southeastern United States, specifically near the Gulf Coast and the Florida Panhandle, where Hurricane Michael made landfall.\n\n---\n\n### Figure: Satellite View of Hurricane Michael\n\n*Description*:  \nA satellite image taken on October 10, 2018, displays Hurricane Michael as it makes landfall on the Florida Panhandle. The image covers the area including Alabama, Georgia, and Florida. The massive storm system\u2019s eye is clearly visible as it comes ashore, with thick spiral cloud bands extending across all three states. A scale marker at the bottom indicates a length of 100 kilometers for reference, and a north directional arrow is present. The storm\u2019s center is near the coast of the Florida Panhandle, surrounded by dense, swirling clouds.\n\n---\n\n<!-- PageFooter: 126 Earth at Night -->", "page_embedding_text_3_large": [-0.0071090711280703545, -0.014127000235021114, 0.002728999825194478, 0.013986781239509583, -0.04672075808048248, -0.026361051946878433, 0.03856004774570465, 0.024594301357865334, 0.00027934127137996256, 0.026823772117495537, 0.03146500140428543, -0.006572735495865345, -0.016643919050693512, -0.004658754914999008, -0.04276660084724426, -0.004213561769574881, -0.03656894713640213, 0.02352864108979702, 0.016671963036060333, 0.051908835768699646, -0.02431386336684227, -0.018887413665652275, -0.06820221245288849, 0.02866063266992569, -0.012227040715515614, 0.03811135143041611, 0.005160035565495491, 0.004038288723677397, 0.017359033226966858, 0.03264283388853073, 0.008805712684988976, 0.007235267665237188, 0.01176432054489851, -0.0035580408293753862, 0.03345610201358795, 0.04512226954102516, 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PageHeader=\"Power Outages\" -->\n\n#### Michael Churns at Night-Florida Panhandle\n\nHurricane Michael weakened throughout October 10 and was downgraded to a tropical storm by October 11. The VIIRS DNB on the Suomi NPP satellite acquired data for the composite image below in the early morning hours of October 11, as the storm passed over Georgia and South Carolina. The false-color image shows infrared signals from VIIRS known as brightness temperature, which helps distinguish the shape and temperature of the clouds. The image was overlaid on data from the VIIRS DNB.\n\n---\n\n**Figure: Nighttime Satellite Image of Hurricane Michael's Aftermath (October 11, 2018)**\n\nThe composite image, captured in the early morning hours of October 11, 2018, covers the southeastern United States as Hurricane Michael passed over Georgia and South Carolina. The states visible and labeled in the image include Kentucky, Virginia, Tennessee, North Carolina, South Carolina, Georgia, Alabama, and Florida.\n\n- The swirl of clouds associated with Hurricane Michael's remnants is centered over Georgia, with the thickest and brightest clouds spiraling outward.\n- Night lights visible in the image (prior to and during the storm) appear as clusters of yellowish dots illuminating urban and populated areas across the region.\n- Notable urban lighting is visible in parts of northern Florida, central and north Georgia (e.g., Atlanta region), and throughout the Carolinas and Virginia.\n- Areas under heavy cloud cover, especially the storm's core, show reduced or muted city lights, likely indicating power outages or the masking of lights by thick cloud cover.\n- The image includes a scale bar of 150 km for geographic reference and a directional arrow indicating North.\n\nThis satellite data provides a visual indication of the extent of cloud cover and power outages caused by Hurricane Michael as it impacted the Southeastern United States.\n\n---\n\n<!-- PageNumber=\"127\" -->", "page_embedding_text_3_large": [0.011396968737244606, -0.03360218554735184, -0.00746086286380887, 0.014853796921670437, -0.01320840697735548, -0.046916261315345764, 0.03396447375416756, 0.02810749039053917, -0.00905719306319952, 0.02365436963737011, 0.008189212530851364, 0.00908738374710083, -0.003500227816402912, -0.006102283950895071, -0.037043921649456024, -0.017857765778899193, -0.05914347246289253, 0.013683909550309181, 0.0182955302298069, 0.04015355557203293, -0.00758162559941411, -0.014257531613111496, -0.0604114793241024, 0.03185113146901131, -0.008694905787706375, 0.04009317606687546, -0.00033705023815855384, 0.014431128278374672, 0.011630945838987827, 0.03363237902522087, -0.0014651897363364697, 0.022642983123660088, 0.024167610332369804, -0.009879888035356998, 0.016710521653294563, 0.021571215242147446, 0.008536404930055141, 0.047821979969739914, 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knocked out power for at least 2.5 million customers in the southeastern United States, according to the Edison Electric Institute. These images of nighttime lights in Florida, Georgia, and Alabama come from the Suomi NPP satellite and were acquired on October 6 and October 12, 2018. The first set of images shows a natural view.\n\n---\n\n### Figure: Location of Event\n\nA world map is shown with a marker pointing to the southeastern United States, specifically the area encompassing the Florida Panhandle, southern Georgia, and southern Alabama. This is the region affected by Hurricane Michael's power outages.\n\n---\n\n### Figure: Nighttime Lights Before and After Hurricane Michael\n\nThis figure consists of two satellite images of the southeastern United States, depicting nighttime lights before and after Hurricane Michael. The images are annotated as follows:\n\n| Feature               | October 6, 2018 (Before Michael)                               | October 12, 2018 (After Michael)                                 |\n|-----------------------|----------------------------------------------------------------|------------------------------------------------------------------|\n| General description   | Bright city lights visible throughout the region, including northern Florida (Panama City), Georgia, Alabama | Significant portions of northern Florida (especially the Panhandle), southern Georgia, and parts of southeast Alabama appear much darker. Many city lights visible on October 6 are gone on October 12. |\n| Labeled states        | Florida, Georgia, Alabama                                      | Florida, Georgia, Alabama                                        |\n| Noted city            | Panama City (Panhandle, FL) is illuminated                     | Panama City area is largely dark                                 |\n| Storm track           | Not shown                                                      | Dashed line labeled \"Hurricane Michael\" traversing the region    |\n| Date                  | October 6, 2018                                                | October 12, 2018                                                 |\n| Map scale             | 100 km                                                         | 100 km                                                           |\n| Noted conditions      | \"light cloud cover\"                                            | \"light cloud cover\"                                              |\n| Water body            | Gulf of Mexico                                                 | Gulf of Mexico                                                   |\n\n**Summary Table of Visual Comparison:**\n\n| Region         | Status on Oct 6                 | Status on Oct 12                | Change      |\n|----------------|---------------------------------|----------------------------------|-------------|\n| Panama City    | Brightly illuminated            | Much dimmer/no lights detected   | Large outage|\n| N. Florida     | Numerous city lights            | Most lights missing              | Large outage|\n| S. Georgia     | Consistent illumination         | Much dimmer                      | Large outage|\n| Alabama        | Numerous city lights            | Some lights missing              | Partial outage|\n| S. Florida     | Bright illumination             | Illumination sustained           | Unchanged   |\n\nThese images highlight the dramatic outages in the wake of Hurricane Michael: vast areas are plunged into darkness, with city lights extinguished in many affected counties and the storm track crossing through the region.\n\n---\n\n<!-- PageFooter=\"128 Earth at Night\" -->", "page_embedding_text_3_large": [0.01625772938132286, -0.01730416901409626, -0.0014208451611921191, 0.019366716966032982, -0.03357706591486931, -0.02249087020754814, 0.054050885140895844, 0.02845102548599243, -0.0005113715888001025, 0.013315565884113312, 0.03112020529806614, -0.004868219140917063, -0.03524530306458473, -0.011215103790163994, -0.039188407361507416, -0.024052945896983147, -0.03300076350569725, 0.022581864148378372, 0.03196949139237404, 0.034456681460142136, -0.014104186557233334, -0.033698391169309616, -0.05729636177420616, 0.028526855632662773, -0.005167743656784296, 0.03576093912124634, 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-0.00955444946885109, -0.021232109516859055, 0.0073478263802826405, 0.010555391199886799, -0.015112712047994137, 0.006472001783549786], "page_number": 144}, {"id": "earth_at_night_508_page_145_verbalized", "page_chunk": "# Power Outages\n\nThe following is a visualization of nightlights from the VIIRS DNB. The images showcase nightlight intensity before and after a major event in Panama City, Florida. A team of scientists from NASA processed and corrected the raw data to filter out stray light from the Moon, fires, airglow, and any other sources that are not electric lights. Their processing techniques also removed other atmospheric interference, such as dust, haze, and thin clouds.\n\n---\n\n## Figure: Nighttime Lights in Panama City, Florida\n\n**Dates Compared:**\n- October 6, 2018\n- October 12, 2018\n\n**Location:** Panama City, along Saint Andrew Bay\n\n### Nightlights Visualization (Verbal Description)\n\n| Date             | Description                                                                              | Nightlight Intensity   |\n|------------------|-----------------------------------------------------------------------------------------|------------------------|\n| October 6, 2018  | The city prior to power outages, with widespread and intense nightlights (brighter areas indicate more electric lighting across the city). | High (Widespread areas of orange, yellow, purple) |\n| October 12, 2018 | The city after the outages, showing very limited, scattered patches of light, indicating significant loss of electric lighting across the area. | Low (Very few bright spots, mostly dark)          |\n\n#### Summary Table of Nightlight Changes\n\n| Area                | October 6, 2018 | October 12, 2018 | Difference              |\n|---------------------|-----------------|------------------|-------------------------|\n| Panama City Center  | Bright          | Dim with patches | Significant decrease    |\n| Outlying Neighborhoods | Bright       | Mostly dark      | Power largely lost      |\n| Saint Andrew Bay Shore | Bright edges | Mostly dark      | Lights out along shore  |\n\n**Legend:**  \n- Colors range from purple (less light) to orange and yellow (more light).\n\n**Scale:** 1 km\n\n---\n\n### Key Observations\n\n- On October 6, 2018, Panama City and its surroundings were illuminated with widespread, intense electric lights.\n- By October 12, 2018, most of the city appeared dark, showing the significant impact of power outages, with electricity only present in small, scattered clusters.\n\n---\n\n**Nighttime Lights Intensity Scale:**\n\n| Color           | Meaning                 |\n|-----------------|------------------------|\n| Orange/Yellow   | More electric lighting |\n| Purple          | Less electric lighting |\n\n<!-- PageNumber=\"129\" -->", "page_embedding_text_3_large": [0.008305014111101627, -0.011123869568109512, -0.0026047888677567244, 0.014859610237181187, -0.0063954670913517475, -0.05131528899073601, 0.046526264399290085, 0.03458401933312416, -0.01647363230586052, -0.006478820461779833, 0.03822125121951103, 0.011032938957214355, -0.004061576444655657, -0.001939857262186706, -0.03361409157514572, -0.01626146025955677, -0.049951326102018356, 0.016185684129595757, 0.026203228160738945, 0.02389964833855629, -0.00697893975302577, -0.026476021856069565, -0.03667542710900307, 0.024854421615600586, 0.003394750412553549, 0.04698092117905617, 0.008441410027444363, 0.012154418975114822, 0.02991623617708683, 0.05210335552692413, 0.017367785796523094, 0.011154179461300373, 0.019959313794970512, 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Outages\n\n## Hurricane Sandy\n\n### Overnight View of Hurricane Sandy - Eastern United States\n\n**Geographic Context:**  \nThe graphic shows a global map focusing on the Western Hemisphere, with a specific marker placed off the eastern coast of the United States, near the Southeast coast. This pin designates the estimated location of Hurricane Sandy on October 28, 2012, at 2:42 a.m. Eastern Daylight Time.\n\n- **Location:** 31.5\u00b0 North, 73.7\u00b0 West (275 miles or 443 kilometers south-southeast of Cape Hatteras, North Carolina)\n- **Motion:** Moving northeast at 14 miles (22 kilometers) per hour\n- **Maximum Sustained Winds:** 75 miles (120 kilometers) per hour\n- **Minimum Central Barometric Pressure:** 960 millibars (28.35 inches)\n\n**Satellite Observation:**  \nThis position and storm data correspond with imagery from the VIIRS Day-Night Band (DNB) sensor aboard the Suomi NPP satellite, which captured lit cloud tops by the nearly full Moon, and some visible city lights beneath clouds in Florida and Georgia during the nighttime pass.\n\n---\n\n<!-- PageFooter=\"130 Earth at Night\" -->", "page_embedding_text_3_large": [-0.011359530501067638, -0.007795986253768206, -0.004944368731230497, 0.023861272260546684, 0.01971488632261753, -0.03301461413502693, 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The cloud formation is in a characteristic spiral pattern, typical of a major storm\u2014likely a hurricane or similar large weather event. The image is in grayscale, capturing the extensive cloud cover over water and land. Some regions in the upper left show small points of light, indicating populated areas with electricity still visible beneath the clouds. A scale bar at the bottom right indicates 250 km for reference.\n\n---\n\n<!-- PageNumber=\"131\" -->", "page_embedding_text_3_large": [-0.00880459789186716, -0.021639637649059296, -0.0066814180463552475, 0.03844914212822914, -0.011747459881007671, -0.03835317865014076, -0.006657427176833153, 0.028261078521609306, 0.008236817084252834, 0.012043345719575882, 0.03422677516937256, 0.0016873478889465332, -0.005833745468407869, -0.00622159568592906, -0.0007602062541991472, -0.009044504724442959, -0.04858922213315964, 0.02258327230811119, 0.02125578559935093, -0.0029448620043694973, -0.0308200903236866, -0.006065655965358019, -0.0708206295967102, 0.037745412439107895, -0.004218369722366333, 0.029460614547133446, 0.0010775835253298283, -0.00028713903157040477, -0.006969306617975235, 0.029236702248454094, 0.04030442610383034, 0.013930616900324821, 0.008044891059398651, 0.002405070699751377, 0.001418451895006001, 0.007221209350973368, 0.022199422121047974, 0.04724574089050293, 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satellite. The \"before\" image (below) was taken at 2:14 a.m. Eastern Daylight Time on August 31, 2012, when conditions in the area were normal. The \"after\" image (right) was taken at 2:52 a.m. Eastern Daylight Time on November 1, 2012, after Hurricane Sandy had moved through. In the \"after\" image, lingering clouds from Sandy are lit by moonlight and obscure much of New York's Hudson Valley, northwestern New Jersey, and northeastern Pennsylvania.\n\n---\n\n### Figure 1: Area of Interest on the Globe\n\nThe corresponding position of the affected region (New Jersey, New York, and eastern Pennsylvania) is indicated on a map of the Earth focused on North America, with a marker showing the location on the eastern seaboard of the United States.\n\n---\n\n### Figure 2: Nighttime Lights of the Region, August 31, 2012\n\nThe pre-Hurricane Sandy image shows the typical night lights in the region before the blackout:\n\n- **Labeled Places:**\n    - Manhattan (bright urban lighting)\n    - Rockaway Beach\n    - Mantoloking\n    - Philadelphia (major urban lighting)\n    - Atlantic City\n- **Context:**\n    - The intensity and spread of the night lights indicate dense urbanization and infrastructure.\n    - The map scale shows 25 km for distance reference.\n    - North is indicated.\n    - The image demonstrates clear, widespread nighttime illumination of the greater New York metropolitan area, New Jersey shore, and Philadelphia, illustrating normal electrical service prior to the hurricane-induced blackout.\n\n---\n\n<!-- PageFooter=\"132 Earth at Night\" -->", "page_embedding_text_3_large": [-0.0077868979424238205, -0.008818801492452621, -0.0023694077972322702, 0.02220972627401352, -0.005350019782781601, -0.039498068392276764, 0.004564186092466116, 0.03202074021100998, -0.015168973244726658, 0.027988381683826447, 0.051341138780117035, 0.0003596777096390724, -0.012335208244621754, -0.006758964154869318, 0.008882302790880203, -0.038386788219213486, -0.03308439627289772, 0.006429548840969801, 0.022638361901044846, -0.0007754155085422099, -0.014470454305410385, -0.036449987441301346, -0.05305568501353264, 0.04200638458132744, -0.029893433675169945, 0.030925337225198746, 0.004326054360717535, 0.029020285233855247, -0.0028972658328711987, 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"page_chunk": "# Power Outages\n\nPennsylvania. In Manhattan, the lower third of the island is dark on November 1, while Rockaway Beach, much of Long Island, and nearly all of central New Jersey are significantly dimmer. The barrier islands along the New Jersey coast, which are heavily developed with tourist businesses and year-round residents, are just barely visible in moonlight after the blackout. Along with the scattered electric lights, there is a bright point along the shore south of Mantoloking, New Jersey, that could be fires fueled by severed natural gas lines.\n\n---\n\n## Figure: Nighttime Power Outages Following Sandy\n\nThis figure is a grayscale satellite image showing areas of light and darkness along the northeastern U.S. coast on November 1, 2012, following Hurricane Sandy.\n\n- **Date:** November 1, 2012\n- **Notable areas labeled on the map:**\n    - *Manhattan*: The lower third of the island is notably dark.\n    - *Rockaway Beach*: Area shown to the east of Manhattan, also dimmer than usual.\n    - *Mantoloking*: Labeled along the New Jersey coast; a \"bright point\" is indicated just south, believed to be fires possibly caused by severed natural gas lines.\n    - *Philadelphia*: A large, bright urban center inland to the west.\n    - *Atlantic City*: Labeled along the New Jersey coast further south, coastline appears faintly illuminated.\n- **Light patterns:**\n    - Many coastal and barrier island communities are substantially dimmer or dark, indicating widespread power outages.\n    - The bright point south of Mantoloking stands out in a largely dark region.\n    - Philadelphia remains brightly lit, showing it was less affected by outages.\n- **Map orientation and scale:** North is indicated, with a 25 km scale bar for distance reference.\n\nThe image underscores the significant impact of Hurricane Sandy on electrical infrastructure, particularly in coastal New Jersey, Manhattan, and Long Island, while adjacent areas such as Philadelphia remained brightly illuminated.\n\n---\n\n<!-- PageNumber=\"133\" -->", "page_embedding_text_3_large": [0.0036375303752720356, -0.018176458775997162, -0.007416831329464912, 0.03101041354238987, 0.004913464188575745, -0.04488899186253548, -0.007916758768260479, 0.00778244948014617, -0.025876831263303757, 0.012095254845917225, 0.0349501371383667, 0.01696768030524254, -0.006864672526717186, 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-0.012863799929618835, -0.015669360756874084, -0.001344953547231853, 0.0028204850386828184, -0.01798245869576931, 0.002622752683237195, -0.013147340156137943, -0.006924365647137165, -0.025593290105462074, 0.011177478358149529, 0.013154801912605762, -0.02181772142648697, 0.012169870547950268], "page_number": 149}, {"id": "earth_at_night_508_page_14_verbalized", "page_chunk": "## Acknowledgments\n\nThe images presented and discussed here are merely the surface results of years of work by thousands of scientists, engineers, technologists, outreach personnel, and representatives of many disciplines. While the material is in the public domain and free to use (as it comes from NASA funding), much of the information presented in this volume was developed by the staff of NASA's Earth Observatory website (https://earthobservatory.nasa.gov, search \"Earth at Night\"). We wish to acknowledge their seminal contributions to showing and explaining images of Earth at night for more than a decade.\n\nThank you to the following individuals from NASA's Science Support Office for pulling this volume together:\n\n|                       |                      |\n|-----------------------|----------------------|\n| Douglas Bennett       | Deborah F. McLean    |\n| Sally J. Bensusen     | Kevin W. Miller      |\n| Heather H. Hanson     | Amy K. Moran         |\n| Mitchell K. Hobish    | Steven M. Graham     |\n| Winnie H. Humberson   | Alan B. Ward         |\n\nMarit A. 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outage spans a large area, there is the chance it can be seen from space. The outage pictured here shows the darkness that fell across parts of North Carolina's Outer Banks in late July 2017. The VIIRS DNB on the Suomi NPP satellite captured nighttime images of Hatteras and Ocracoke islands. They show the barrier islands becoming noticeably darker compared to their surroundings.\n\n---\n\n### Figure 1: Location of Outage\n\nA globe with a marker over the southeastern United States, indicating the region of the Outer Banks in North Carolina.\n\n---\n\n### Figure 2: Satellite Nighttime Image of North Carolina, July 27, 2017\n\nThe figure shows a night view of southeastern Virginia and North Carolina from space on July 27, 2017. Urban areas show up as bright clusters due to artificial lighting, while the barrier islands of Ocracoke and Hatteras are notably darker compared to surrounding regions, visualizing the extent of the power outage.\n\nThe following summary table describes relevant locations and features from the image:\n\n| Location     | Appearance on Map      | Description                                |\n|--------------|-----------------------|--------------------------------------------|\n| Portsmouth   | Large bright cluster   | A major city; clearly visible as brightly lit|\n| Wilmington   | Bright urban area      | Southern part of map; visible as a bright spot|\n| Ocracoke     | Dark area              | Barrier island that is noticeably less lit during the outage |\n| Hatteras     | Dark area              | Another barrier island, positioned south of Ocracoke, also visibly dark |\n| Atlantic Ocean | Dark expanse          | To the right of the coast; no urban lights  |\n\nA scale shows 50 km for distance reference, and a north arrow indicates orientation. 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2017. Storms are a common culprit for power outages, but the power outage pictured here had a more unusual cause\u2014a construction accident that compromised buried transmission cables.\n\n## Figure: Nighttime Satellite Imagery of the North Carolina Coast, July 30, 2017\n\n**Description:**\n\nThe figure presents a nighttime satellite image of the North Carolina coastline on July 30, 2017. The image shows several key landmarks labeled, including Portsmouth, Wilmington, Ocracoke, and Hatteras, as well as the Atlantic Ocean. The scale at the bottom right indicates a distance of 50 km, with an arrow pointing north.\n\n**Verbalized Table of Light Visible in Major Locations:**\n\n| Location    | Relative Brightness (Nighttime Light) | Notes                                        |\n|-------------|---------------------------------------|----------------------------------------------|\n| Portsmouth  | Very bright, large area               | Major urban area, dense light observed       |\n| Wilmington  | Bright, moderate area                 | Mid-sized urban area, clear illumination     |\n| Ocracoke    | Low to no visible light               | Area affected by blackout, very dim/dark     |\n| Hatteras    | Low to no visible light               | Area affected by blackout, very dim/dark     |\n| Surrounding (Inland) | Spotted, variegated brightness      | Distributed small towns and rural lighting   |\n| Atlantic Ocean | No visible light                   | Natural darkness, as expected                |\n\n**Key Points Summarized:**\n\n- The satellite image is used to visualize the effects of a large-scale power outage on Ocracoke and Hatteras islands following a construction accident.\n- Major cities such as Portsmouth and Wilmington remain lit and easily visible.\n- In stark contrast, Ocracoke and Hatteras are noticeably dark, highlighting the extent of the blackout.\n- The darkness of these islands compared to the surrounding illuminated areas dramatically demonstrates the unusual outage event not caused by a storm, but by accidental damage to transmission infrastructure.\n\n---\n\n<!-- Page 135 -->", "page_embedding_text_3_large": [0.0006774423527531326, -0.02156258374452591, -0.0025735585950315, -0.0038634336087852716, -0.015924280509352684, -0.01982899010181427, -0.0010298362467437983, 0.014867615886032581, -0.011590301059186459, 0.0010814312845468521, 0.021430499851703644, -0.010021813213825226, -0.030544240027666092, -0.005989147815853357, 0.011582045815885067, 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The storm raced hundreds of miles from west of Chicago across Illinois, Indiana, Ohio, West Virginia, Virginia, Maryland, and Washington, D.C.; it combined intense lightning and rain with hurricane-force winds with speeds that were upwards of 60 miles (96 kilometers) per hour. It killed 22 people and caused some 4.3 million households to lose power for days.\n\n---\n\n### Figure 2: Nighttime Lights in the Baltimore\u2013Washington Region Before the Storm\n\n#### Description of the Visual Information:\n\nThis night-time satellite image (from June 28, 2012) shows the Baltimore\u2013Washington, D.C. region, extending west to Pittsburgh and south to Richmond. Major features labeled include:\n\n- Pittsburgh (upper left)\n- Baltimore (top right)\n- Washington, D.C. (central right)\n- Richmond (lower right)\n- Major highways: route 270, route 267, route 66 (all near Washington, D.C.)\n- A scale indicator (50 km)\n- North arrow for orientation\n\nBright clusters represent city lights, indicating areas of dense population and high electricity usage.\n\n**Verbalization of Content:**\n\n| City/Feature      | Nighttime Visible Lights?          | Location Relative to Region |\n|-------------------|-----------------------------------|-----------------------------|\n| Pittsburgh        | Yes (upper left, large cluster)    | Northwest                   |\n| Baltimore         | Yes (bright cluster, upper right)  | Northeast                   |\n| Washington, D.C.  | Yes (bright cluster, near center)  | Central/east-central        |\n| Richmond          | Yes (bright cluster, bottom right) | South-southeast             |\n| Route 270/267/66  | Associated clusters of lights      | Near Washington, D.C.       |\n\nBefore the derecho event, the region is characterized by extensive and continuous nighttime lighting tracing major highways and urban centers, particularly along the corridor from Baltimore through Washington, D.C., and toward Richmond.\n\n---\n\n*The subsequent image (not shown in this specific set) would reveal a marked reduction in nighttime lighting in the Baltimore\u2013Washington, D.C. area, visualizing the extent of power outages caused by the storm.*\n\n---\n\n<!-- PageFooter=\"136 Earth at Night\" -->", "page_embedding_text_3_large": [0.018652016296982765, 0.005099402740597725, -0.006246970500797033, 0.0030366096179932356, -0.008012770675122738, -0.03088735044002533, 0.03504122048616409, 0.030079204589128494, -0.0022809929214417934, 0.024341365322470665, 0.029384197667241096, 0.006586391944438219, -0.004190238192677498, -0.02167448215186596, -0.009665429592132568, 0.0013496042229235172, -0.05427510291337967, 0.024050433188676834, 0.03736868500709534, -0.016429614275693893, -0.0025921291671693325, 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-0.009519962593913078, -0.007394538260996342, -0.012849525548517704, -0.01644577644765377, 0.014013255946338177, 0.022078555077314377, -0.023904966190457344, 0.01012607291340828], "page_number": 152}, {"id": "earth_at_night_508_page_153_verbalized", "page_chunk": "# Power Outages\n\nA quick comparison between the June 28 and June 30 images reveals extensive power outages around Washington, D.C. and Baltimore. Clouds obscure the lights of Philadelphia and other areas north and east of Baltimore. Of particular interest is the loss of light to the north and west of Washington, D.C., along interstate highway Routes 270 and 66 and Maryland Route 267. Known as a \"derecho,\" which is the Spanish word for \"straight,\" the forceful winds can be as powerful as tornadoes, but the winds don't twist\u2014instead driving in a straight line over long distances; hence the name.\n\n---\n\n## Figure: Power Outages in the Mid-Atlantic Region (June 30, 2012)\n\nThis figure is a map of the Mid-Atlantic U.S., highlighting the metropolitan areas of Pittsburgh, Baltimore, Washington, D.C., and Richmond. Notable interstate routes (270, 267, and 66) are marked. The map shows city lights as seen from space at night. \n\n- **Observation:** On June 30, 2012, there are large areas of darkness present to the north and west of Washington, D.C. and around Baltimore, indicating power outages. Clouds obscure the lights to the northeast, particularly near Philadelphia.\n- **Cities and Features Marked:** Pittsburgh (top left), Baltimore and Washington, D.C. (center right), Richmond (bottom center), and the routes 270, 267, and 66.\n- **Scale:** The image includes a scale bar indicating 50 km for distance.\n- **Cardinal Direction:** North is indicated.\n\n---\n\n**Description:**  \nThe satellite image shows the impact of a derecho event that swept across the region, causing widespread loss of power evident by the large dark patches around and between Baltimore and Washington, D.C., especially along key highways. The event demonstrates how weather phenomena can lead to large-scale infrastructure disruptions.\n\n---\n\n<!-- PageNumber=\"137\" -->", "page_embedding_text_3_large": [-0.004631334915757179, -0.016146445646882057, -0.009634125046432018, 0.02818317338824272, -0.0035426549147814512, -0.0422036312520504, 0.02138633467257023, 0.02519572526216507, -0.010290098376572132, 0.011617853306233883, 0.006089494097977877, 0.019125990569591522, 0.0020785683300346136, -0.007737332489341497, -0.012471409514546394, -0.013190610334277153, -0.055259883403778076, 0.017972107976675034, 0.05971734598278999, -0.012597862631082535, -0.008970247581601143, 0.005137145984917879, -0.025970248505473137, 0.03803068771958351, -0.030585777014493942, 0.03841004520654678, 0.009468154981732368, -0.004931660369038582, -0.0038054396864026785, 0.03442678228020668, 0.027661556378006935, 0.009270573034882545, 0.03964295983314514, -0.012439796701073647, -0.02565411664545536, 0.005010693334043026, 0.027234777808189392, 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Aftermath-Nepal\n\nEven before a powerful magnitude 7.8 earthquake jolted Nepal on April 25, 2015, continuous access to electricity was not something the Nepalese could take for granted. The country's rugged topography prevents Nepal's main electricity provider\u2014the state-owned Nepal Electricity Authority\u2014from providing service to many rural areas. And even in towns and cities where service is available, chronic power shortages mean the 30 million people of Nepal often face lengthy outages.\n\nIn the aftermath of the earthquake, however, access to reliable electricity diminished even further. Satellite observations comparing clear nights before and after the earthquake (March 21-30 and April 19-28, 2015, respectively) revealed widespread power losses. By analyzing the amount of light emitted by cities and towns, areas with decreased light after the earthquake were distinguished (shown as orange on the original map), areas with unchanged output appeared black, and areas with greater light output were purple.\n\nThe data showed that power losses were extensive after the earthquake. The cities of Kathmandu, Bharatpur, and Hetauda were especially severely affected. In rural areas, individual towns and villages also experienced significant outages, illustrating how the earthquake disrupted already fragile energy infrastructure across much of Nepal.\n\n---\n\n- **Key Insights from Satellite Observations:**\n\n  | Area           | Light Output After Earthquake | Notes                                |\n  |----------------|------------------------------|--------------------------------------|\n  | Kathmandu      | Decreased (orange areas)     | Particularly hard hit                |\n  | Bharatpur      | Decreased (orange areas)     | Hard hit                             |\n  | Hetauda        | Decreased (orange areas)     | Hard hit                             |\n  | Other Towns    | Mostly decreased             | Each pixel indicates town/village    |\n  | Select Regions | No change (black) or increased (purple) | Few areas, not the majority     |\n\n- **Map Location:**\n  - The pinpointed area on the embedded world map indicates the region of Nepal, South Asia, where the earthquake and subsequent power outages occurred.\n\n---\n\n<!-- PageFooter=\"138 Earth at Night\" -->", "page_embedding_text_3_large": [-0.005462617613375187, 0.010373996570706367, 0.0012565552024170756, 0.010795081965625286, -0.016598394140601158, -0.024193232879042625, 0.039137911051511765, 0.014378129504621029, -0.008949965238571167, 0.0174711886793375, 0.07564213126897812, -0.008276228792965412, -0.03187994286417961, -0.024193232879042625, -0.007311562541872263, -0.015848098322749138, -0.023458248004317284, 0.01981395110487938, 0.02279982529580593, 0.017241505905985832, -0.048723332583904266, -0.05512382090091705, -0.021727973595261574, 0.012808632105588913, -0.008237948641180992, 0.045140285044908524, 0.00873559433966875, 0.004953487776219845, 0.0187574103474617, 0.03240055590867996, 0.014002981595695019, -0.0154576376080513, 0.012295674532651901, -0.015939971432089806, 0.009118398651480675, 0.021559538319706917, 0.044007182121276855, 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The map is a nighttime satellite image used to detect changes in lighting, which can be used as an indirect indicator of power outages or restoration of electric power following major events. The map includes the following locations:\n\n- **China:** Marked north of the Nepal border.\n- **Nepal:** Major cities labeled include Kathmandu, Bharatpur, Hetauda. The international borders are delineated.\n- **Missing Data:** Areas within China to the north are marked as \"missing data\" (highlighted in gray).\n- **Scale Bar:** The map includes a scale indicating 100 km for distance reference.\n- **Compass Rose:** Points north.\n\n### Lighting Change Legend\nThe map uses color coding to indicate changes in nighttime lights:\n\n| Color      | Meaning     |\n|------------|-------------|\n| Orange     | More lighting than reference period |\n| Purple     | Less lighting than reference period |\n| Gray       | Missing data                        |\n| Neutral    | Same lighting as reference period   |\n\n- **Less** lighting is indicated by purple hues.\n- **Same** lighting is shown by neutral colors.\n- **More** lighting is shown by orange hues.\n\n#### Geographic Focus\n- The Kathmandu region shows significant orange, indicating increased nighttime lighting relative to a baseline.\n- Bharatpur and Hetauda also show changes, though to a lesser extent.\n- Large swathes near the China border are marked as \"missing data.\"\n\n---\n\n<!-- Page 139 -->", "page_embedding_text_3_large": [-0.004126891493797302, 0.011069145984947681, -0.005542265251278877, 0.043322741985321045, -3.813071452896111e-05, -0.015238344669342041, 0.01853831857442856, 0.011069145984947681, -0.01019992120563984, 0.000583649380132556, 0.04929192736744881, -0.004680733196437359, -0.03212282806634903, -0.033538203686475754, -0.010422997176647186, -0.018246013671159744, -0.020184461027383804, 0.014546042308211327, 0.03261513262987137, 0.018015246838331223, -0.05523034557700157, -0.04279967024922371, -0.011807601898908615, 0.010869147256016731, 0.006596103310585022, 0.041199684143066406, 0.004688425455242395, -0.003403819864615798, -0.0006350912735797465, 0.031107453629374504, -0.001938446657732129, -0.012838362716138363, 0.009346081875264645, -0.024538272991776466, -0.0062691825442016125, 0.0064345658756792545, 0.02944592759013176, 0.014592195861041546, 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One of the most catastrophic impacts has been on the country's electricity network. The left and middle images (below) were created using two separate nightlight datasets from the VIIRS DNB on the Suomi NPP satellite for 2012 and 2016, respectively. The image on the far right (below) shows the change in lighting intensity when the 2012\n\n---\n\n### Figure 1: Map Location\n\nA map of the world is shown with a marker indicating the region of Syria in the Middle East. This sets the geographic context for the following images and analysis.\n\n---\n\n### Figure 2: Night Lights in 2012\n\n**Description:**  \nA satellite composite image (VIIRS DNB, Suomi NPP) showing nighttime lights across the Levant area in 2012. Aleppo, Syria, is labeled at the center right of the image.\n\n**Observations:**  \n- In 2012, Aleppo and surrounding Syrian regions display considerable lighting, indicating robust electricity infrastructure and active urban areas.\n- Neighboring countries also display significant lighting, showing densely populated belts.\n\n---\n\n### Figure 3: Night Lights in 2016\n\n**Description:**  \nA satellite composite image (VIIRS DNB, Suomi NPP) showing the same region at night in 2016.\n\n**Observations:**  \n- By 2016, there is a dramatic reduction in visible nighttime lighting in areas of Syria, especially around Aleppo.\n- Neighboring regions, outside of Syria, remain brightly illuminated, highlighting the stark contrast.\n- This suggests extensive degradation of Syria\u2019s electrical network as a direct effect of prolonged conflict.\n\n---\n\n**Summary Table: Nighttime Lights Comparison in Syria (Aleppo Region)**\n\n| Year | Visible Nighttime Lights in Aleppo/Syria | Visible Nighttime Lights in Neighboring Regions |\n|------|------------------------------------------|------------------------------------------------|\n| 2012 | High \u2013 widespread illumination           | High                                           |\n| 2016 | Low \u2013 significant reduction, many areas dark | High (no notable change)                       |\n\n---\n\n> The stark decline in nighttime lights between 2012 and 2016 in Syrian territory, especially around Aleppo, directly visualizes the catastrophic effects of war on infrastructure and daily human activity.\n\n<!-- PageFooter=\"140 Earth at Night\" -->", "page_embedding_text_3_large": [-0.007188629359006882, 0.0003160853812005371, -0.005996368825435638, 0.034723613411188126, 0.018141061067581177, -0.0243906881660223, 0.026089463382959366, 0.01965281553566456, -0.010029014199972153, -0.008509466424584389, 0.05517126992344856, 0.013582417741417885, 0.006950956303626299, -0.011135556735098362, 0.01951255090534687, 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Orange shades indicate areas where lights have gone out over the years, leaving people to survive with little or no power. Syria was once one of the eastern Mediterranean's major power suppliers. It has 15 power stations, including 3 major hydroelectric dams. To view global changes in lighting intensity from 2012 to 2016, see page 26 of this volume.\n\n---\n\n## Figure: Aleppo, Syria (Nighttime Lights)\n\nThis figure displays a nighttime satellite image of Aleppo, Syria and its surrounding region. The image highlights illuminated areas that indicate active power supply. Aleppo, identified with a label, appears as a bright cluster, prominently visible among surrounding regions of darkness.\n\n#### Description\nIn the satellite view:\n- Bright clusters represent cities or urban areas with functioning electrical lighting.\n- Aleppo, Syria, is marked and appears as a significant light source amidst the darker expanse.\n- Rural and war-affected areas appear dim or completely dark, signifying widespread loss of power infrastructure.\n\n---\n\n## Figure: Change in Nightlights (2012-2016)\n\n### 2012 - 2016 Change  \nAleppo, Syria\n\nThis figure illustrates the changes in nightlights between 2012 and 2016 around Aleppo, Syria and neighboring regions.\n\n#### Legend\n- **Orange areas:** Lights have gone out (loss of night lighting, indicating potential loss of electrical infrastructure or population displacement)\n- **No Change:** Regions where lights remained consistent between 2012 and 2016.\n- **New Lights:** Regions where lighting has appeared during the period.\n\n#### Description\n- Vast areas around Aleppo and northwest Syria are covered in **orange**, indicating extensive loss of lighting and, by implication, electricity access between 2012 and 2016.\n- Some areas remain lit, showing **no change**, typically urban, coastal, or border regions.\n- Few **new lights** appear, mostly small and sparse, suggesting isolated developments despite the ongoing conflict.\n- The changes are starkest in central and northwest Syria, aligning with regions that experienced the most intense conflict.\n\n---\n\n### Table: Qualitative Summary of Nightlight Change (2012\u20132016)\n\n| Region                          | Change in Nightlights (2012\u20132016)    | Interpretation                         |\n|----------------------------------|--------------------------------------|----------------------------------------|\n| Aleppo & Northwest Syria         | Major decrease (lights out, orange)  | Large-scale power loss/displacement    |\n| Coastal Lebanon/Western Syria    | Mostly stable (no significant change)| Continued urban activity, less affected|\n| Isolated spots (Syria, outskirts)| Some new lights                      | Scattered new electrification/develop  |\n\n---\n\n**Summary:**  \nSatellite data demonstrate the devastating effects of war, especially in and around Aleppo, where most lights have gone out, indicating severe disruptions to electricity and possibly mass displacement or destruction of infrastructure. Surviving lit areas highlight pockets of resilience or areas less affected by the conflict.\n\n---\n\n<!-- PageNumber=\"141\" -->", "page_embedding_text_3_large": [-0.011461840942502022, -0.010490634478628635, -0.0030239836778491735, 0.035156067460775375, 0.017273027449846268, -0.022393934428691864, 0.021703654900193214, 0.0036941964644938707, 0.0011829053983092308, -0.015346666797995567, 0.04751687869429588, 0.024609247222542763, -0.015250349417328835, -0.00013318972196429968, 0.00607204670086503, -0.011582238599658012, -0.013885844498872757, -0.008668619208037853, 0.012120014056563377, 0.00215110182762146, -0.0009054894908331335, -0.02974620647728443, -0.015089819207787514, 0.023453431203961372, 0.00047883085790090263, 0.017112497240304947, 0.03290864825248718, 0.01586838997900486, 0.01494534220546484, 0.053745441138744354, 0.008692698553204536, -0.018926486372947693, 0.01804357022047043, -0.04636106267571449, 0.0188943799585104, -0.003995189908891916, 0.03855930268764496, 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Middle East\u2014Syria and Iraq\n\nThe images below show differences in nighttime lighting between 2012 (below) and 2016 (right) in Syria and Iraq, among several Middle Eastern countries. Each image is drawn from a global composite that was made by selecting the best cloud-free nights in each month over each landmass. The data come from the VIIRS DNB on the Suomi NPP satellite. The changes are most dramatic around Aleppo, but also extend through western Syria to Damascus. Over the four years shown, lighting increased in areas north of the Syrian border in Turkey and to the west in Lebanon. In Iraq, some northern sections near Mosul saw a decrease in light over the years, while areas in other regions showed different patterns.\n\n---\n\n### Figure 1: Location of Syria and Iraq in the Middle East\n\nA map of the world is shown with a marker indicating the region of the Middle East, specifically highlighting the region that includes Syria and Iraq.\n\n---\n\n### Figure 2: Nighttime Lights in Syria and Iraq (2012)\n\nThis figure displays a nighttime satellite image of Syria and Iraq in 2012, highlighting urban lighting intensity:\n\n**Main geographical points and cities marked in the figure:**\n- Countries: Turkey (north), Syria (center-west), Iraq (east), portions of Lebanon to the west (not labeled), and proximity to the Mediterranean coast.\n- Major cities marked by brightness:\n  - Aleppo (Syria): Bright, indicating significant nighttime lighting.\n  - Damascus (Syria): Bright city cluster in southwestern Syria.\n  - Mosul (Iraq): Illuminated urban area in northern Iraq.\n  - Irbil (Iraq): Brightly lit, northeast of Mosul.\n  - Kirkuk (Iraq): Bright, southeast of Irbil.\n  - Baghdad (Iraq): Major, very luminous area in central Iraq.\n- Natural features:\n  - Euphrates River: Traces a line of light across Syria.\n  - Tigris River: Runs through Iraq, with some lighted areas along its course.\n\n**Verbalized summary of lighting intensity:**\n- Western Syria (Aleppo, Damascus) and the north toward Turkey are visibly illuminated.\n- River corridors (Euphrates and Tigris) appear as dimly lit traces, revealing concentrated settlements.\n- Northern Iraq (including Mosul and surrounding cities) displays concentrated clusters of nightlights.\n- Major urban centers like Baghdad are distinctly bright.\n- Large portions of Syria, especially central and eastern areas, are much dimmer, reflecting less urbanization or electricity access.\n\n_The image serves as a baseline of nightlight distribution for 2012, prior to the escalation of conflict in the region._\n\n---\n\n**Note:** The comparison with 2016 (as referenced in the figure descriptions) would typically reveal stark changes, including areas of reduced lighting due to conflict-driven displacement, infrastructure damage, and population movement, especially pronounced around Aleppo and western Syria, as well as variable changes in Iraq.\n\n<!-- PageFooter=\"142 Earth at Night\" -->", "page_embedding_text_3_large": [0.007395555730909109, -0.007983231917023659, -0.004869313444942236, 0.04136626794934273, 0.010593428276479244, -0.024636588990688324, 0.015203247778117657, 0.017111286520957947, -0.013302842155098915, -0.014340815134346485, 0.043991729617118835, 0.019385667517781258, 0.00048058709944598377, -0.007876381278038025, 0.017447100952267647, 0.01112767867743969, -0.004438096657395363, -0.008838032372295856, -0.02144634909927845, -0.0028735054656863213, 0.013524174690246582, -0.019813068211078644, -0.01202827226370573, 0.03645116090774536, -0.011165839619934559, 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"page_chunk": "# Effects of War\n\nAround Baghdad, Irbil, and Kirkuk saw increases. Note, too, the change in electric light patterns along the Tigris and Euphrates river basins. International agencies such as the United Nations Institute for Training and Research Operational Satellite Applications Programme (UNITAR-UNOSAT) have used such imagery in the past few years to support United Nations operations and activities in the areas of disaster response, humanitarian support, human security, and human rights. Nighttime imagery helps relief and peacekeeping groups identify areas that are most in need of aid and support.\n\n---\n\n## Nighttime Satellite Imagery: Iraq and Syria, 2016\n\n**Description of the Figure:**\n\nA nighttime satellite image from 2016 shows electric light patterns in parts of Turkey, Syria, and Iraq. Major cities and geographic features are labeled, including:\n\n- **Countries:** Turkey (north), Syria (west), Iraq (center and southeast)\n- **Cities:** Aleppo (Syria), Damascus (Syria), Mosul (Iraq), Irbil (Iraq), Kirkuk (Iraq), Baghdad (Iraq)\n- **Rivers:** Euphrates River, Tigris River\n\n**Observations from the image:**\n\n- Urban centers such as Baghdad, Mosul, and Kirkuk show significant brightness, indicating higher electric light usage.\n- There is a concentration of lights along the river basins, especially along the Tigris and Euphrates rivers.\n- Some areas, particularly in war-impacted regions of Syria (e.g., around Aleppo), show noticeably fewer lights compared to neighboring areas, suggesting a reduction in infrastructure usage or population.\n- Turkey, especially regions bordering Syria and Iraq, appears well-lit with clusters of bright spots indicating larger cities.\n- The border regions of Iraq and Syria are less illuminated, reflecting either lower population densities or impacts from ongoing conflict.\n- A scale marker in the image indicates a distance of 100 km.\n\n**Figure Key Locations Table:**\n\n| Location   | Country | Light Intensity (2016) | Notes                                      |\n|------------|---------|------------------------|---------------------------------------------|\n| Baghdad    | Iraq    | Very high              | Major urban center, densely lit             |\n| Irbil      | Iraq    | High                   | Noticeable increase in light                |\n| Kirkuk     | Iraq    | High                   | Noticeable increase in light                |\n| Mosul      | Iraq    | Moderate to high       | Urban center, less intense than Baghdad     |\n| Aleppo     | Syria   | Lower than expected    | Significant decrease, likely due to conflict|\n| Damascus   | Syria   | Fairly high            | Urban center                                |\n| River basins (Tigris/Euphrates) | Iraq, Syria | Strings of light along rivers | Follows urban/agricultural settlements      |\n| Turkey (border regions) | Turkey | Very high | Densely populated, well-lit                 |\n| Rural Syria & Iraq | Syria, Iraq | Very low                | Low population density and/or war impact    |\n\n---\n\n*This nighttime imagery is used by organizations to identify areas most affected by war and to support disaster response, humanitarian relief, human security, and human rights efforts, providing critical information about infrastructure and population activity during and after conflict.*\n\n---\n\nPage 143", "page_embedding_text_3_large": [0.017582498490810394, -0.014314056374132633, -0.007917584851384163, 0.03310564532876015, 0.017020856961607933, -0.01797252707183361, 0.03220077604055405, 0.013853822834789753, -0.018970999866724014, -0.010507375933229923, 0.045118529349565506, 0.025039847940206528, -0.0020632522646337748, -0.013580802828073502, -0.004961166065186262, 0.013604204170405865, -0.008198405615985394, 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-0.03064066171646118, -0.001711251330561936, 0.00990673154592514, 0.003695522900670767, 0.00010981748346239328, -0.0049962690100073814, -0.015827368944883347, -0.0183157529681921, -0.006759198848158121, -0.0047544511035084724, -0.013978632166981697, 0.020889941602945328], "page_number": 159}, {"id": "earth_at_night_508_page_15_verbalized", "page_chunk": "### Science Content Reviewers\n\n- Michael J. Falkowski\n- Jack A. Kaye\n- Miguel O. Rom\u00e1n\n- Ranjay M. Shrestha\n- Eleanor C. Stokes\n\n---\n\n### SPECIAL THANKS\n\nLast, but certainly not least, we would like to thank:\n- **Thomas H. Zurbuchen**, Associate Administrator for NASA's Science Mission Directorate, for contributing the Foreword;\n- **Michael H. Freilich**, Former Director of NASA's Earth Science Division, for contributing the Preface;\n- **James L. Green**, NASA Chief Scientist, for contributing the Epilogue.\n\nWe would also like to thank:\n- Kristen J. Erickson\n- Emily M. Furfaro\n- Grey M. Hautaluoma\n- Kirsten D. Petree\n- Steven E. 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it likely contains oil or gas. In nighttime\nsatellite imagery, the light from the Eagle Ford Shale Play competes with the nearby\ncities of San Antonio and Austin, Texas. The electric glow of drilling equipment, worker camps, and other gas and\noil infrastructure combine with flickering gas flares to create an unmistakable arc of light across southern Texas.\nOn February 15, 2016, the VIIRS DNB on the Suomi NPP satellite captured this nighttime view of Eagle Ford\n(below). The Eagle Ford Shale, which is about 400 miles (600 kilometers) long and 50 miles (80 kilometers) wide,\nis a source of both oil and gas. Most of the oil-producing wells are located on the northern part of the play; the\ngas-producing wells are located along its southern edge. As shown in the two images (right) of Cotulla (outlined below):\n\n---\n\n### Figure 1: Location of Eagle Ford Shale Play\n\nA globe centered on North America with a marker indicating the location of South Texas, in the southern United States. This location corresponds to the Eagle Ford Shale Play region.\n\n---\n\n### Figure 2: Nighttime Satellite View of South Texas \u2013 Eagle Ford Shale Play (February 15, 2016)\n\nThis image is a nighttime satellite view of southern Texas, showing city lights and illuminated oil and gas infrastructure within and around the Eagle Ford Shale Play. Notable features on the image:\n\n- The boundary of the Eagle Ford Shale Play is outlined in a pink dashed line.\n- Bright city lights are visible for Austin (northeast of the play) and San Antonio (center-north of the play).\n- Mexico is labeled to the southwest.\n- The distinctive arc of light inside the Eagle Ford Shale Play shows concentrated oil and gas drilling activity and associated infrastructure.\n- The area of Cotulla is outlined with a white rectangle within the play.\n- A scale bar representing 50 km is provided for spatial reference.\n- North is indicated by a compass rose.\n\n| Feature                      | Description                                                        |\n|------------------------------|--------------------------------------------------------------------|\n| Date Observed                | February 15, 2016                                                  |\n| Major Cities Highlighted     | Austin, San Antonio                                                |\n| Country Borders Noted        | United States (Texas), Mexico                                      |\n| Eagle Ford Shale Play Extent | Outlined; area dense with light from oil/gas operations            |\n| Key Local Area               | Cotulla (outlined within the play)                                 |\n| Scale                        | 50 km bar                                                          |\n\n---\n\n<!-- PageFooter=\"144 Earth at Night\" -->", "page_embedding_text_3_large": [0.0027793783228844404, 0.01146520022302866, -0.004017484374344349, -0.004731939174234867, -0.0020776435267180204, -0.010320376604795456, 0.0037418785504996777, 0.013958373107016087, -0.03924626484513283, 0.03755022585391998, 0.03470088914036751, 0.03531146049499512, 0.02231982909142971, -0.016231060028076172, -0.012448901310563087, 0.04443613067269325, -0.01329691894352436, 0.0007176350336521864, -0.01618865877389908, 0.0073226336389780045, 0.014662227593362331, -0.03215683624148369, 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-0.0064194947481155396, -0.01056630164384842, -0.002845099661499262, 0.0200641006231308, -0.01126167643815279, 0.021302206441760063], "page_number": 160}, {"id": "earth_at_night_508_page_161_verbalized", "page_chunk": "# Mining\n\nIn white in the VIIRS DNB image (left), the view is also stunning during daylight. In the early 2000s, the area east of Cotulla, Texas, was dry, sleepy shrubland. By 2015 a bustling network of roads and rectangular drill pads had completely transformed the landscape. The pair of satellite images shows how much the landscape has changed.\n\nLandsat 5 acquired the December 17, 2000, image; Landsat 8 captured the December 18, 2015, image. According to a report from the Texas Observer, a nonprofit news organization based in Austin, Cotulla saw its population swell from about 4,000 to 10,000 people in just a few years due to an influx of oil and gas workers.\n\n---\n\n## Figure 1: Landscape Around Cotulla, Texas on December 17, 2000\n\n**Description:**  \nThis satellite image, taken by Landsat 5 on December 17, 2000, shows the area surrounding the town of Cotulla, Texas. The landscape is largely shrubland with irregular patterns indicative of natural terrain and sparse development. There are minimal road networks and very few visible human-made structures, especially toward the east of Cotulla. The region is largely undisturbed.\n\n- **Date:** December 17, 2000\n- **Location:** Cotulla, Texas\n- **Scale:** 5 km bar for reference\n- **Visible Features:**  \n  - Cotulla town center marked  \n  - Sparse network of roads  \n  - Mostly natural shrubland, minimal industrial activity\n\n---\n\n## Figure 2: Landscape Around Cotulla, Texas on December 18, 2015\n\n**Description:**  \nThis satellite image, captured by Landsat 8 on December 18, 2015, shows the same region east of Cotulla, Texas. By this time, the landscape has been dramatically altered. There is a dense, regular grid of roads and many rectangular drill pads spread across the once-undeveloped land. The change is especially notable east of Cotulla, where clear patterns of oil and gas extraction infrastructure are visible.\n\n- **Date:** December 18, 2015\n- **Location:** Cotulla, Texas\n- **Scale:** 5 km bar for reference\n- **Visible Features:**  \n  - Cotulla town center marked  \n  - Dense network of straight roads forming grids  \n  - Numerous small, rectangular white drill pads across the region  \n  - Significant signs of industrial oil and gas activity, in contrast with 2000 image\n\n---\n\n**Summary Table: Changes Observed Near Cotulla, Texas (2000 vs. 2015)**\n\n| Year     | Major Features          | Landscape Appearance                 | Industrial Infrastructure    |\n|----------|------------------------|--------------------------------------|-----------------------------|\n| 2000     | Sparse roads, natural  | Mostly shrubland, sparse development | Minimal (few structures)     |\n| 2015     | Dense road grids, pads | Grid network, many white rectangles  | Extensive (drill pads, roads)|\n\n---\n\n**Interpretation:**\n\nThe two satellite images provide a visual record of rapid land transformation resulting from oil and gas development. Between 2000 and 2015, extensive road construction and drilling infrastructure replaced wide swathes of natural shrubland east of Cotulla. The population increase in Cotulla from 4,000 to 10,000 people was closely tied to this industrial boom, reflecting how resource extraction can reshape both landscapes and communities in a short time span.\n\n---\n\n<!-- PageNumber=\"145\" -->", "page_embedding_text_3_large": [0.028463199734687805, -0.0085598174482584, -0.0045606899075210094, 0.005427100695669651, 0.0107739781960845, -0.008856643922626972, -0.011126960627734661, 0.01549912616610527, -0.02448412775993347, 0.00796616543084383, 0.01228217501193285, 0.01894872449338436, 0.0021339377854019403, -0.020200207829475403, -0.012940005399286747, 0.042101144790649414, -0.03837879002094269, 0.0035438607446849346, 0.011792813427746296, 0.00561161432415247, 0.008672130294144154, -0.04566305875778198, -0.010838157497346401, 0.015290546230971813, 0.03139936923980713, 0.022895706817507744, 0.013389255851507187, 0.023633761331439018, -0.002545081777498126, 0.05092570185661316, 0.019799090921878815, 0.0033453083597123623, 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World's Gas Flares in One Spot \u2014 Nigeria\n\n### Figure: Location of Nigeria on the Globe\n\nThe figure above shows a world map with a marker indicating the geographic location of Nigeria in West Africa. This is the site of the Niger River Delta, where significant gas flaring occurs.\n\n---\n\nAt night, gas flares\u2014used to remove unwanted natural gas found in crude oil\u2014outshine everything else in the Niger River Delta. In this region, satellite images taken on December 18, 2013, by the VIIRS Day/Night Band (DNB) on the Suomi NPP satellite, show that the lights from gas flares are much brighter than the city lights of Port Harcourt and Benin City.\n\nThis image and its analysis illustrate two key facts from a U.S. Energy Information Administration assessment:\n- Nigeria contains more gas flares than any other country except Russia.\n- Nigeria has one of the lowest per capita electricity generation rates in the world.\n\nAbout ten percent of the world's gas flares are located in Nigeria, with most concentrated in the Delta region. These flares and oil production facilities are found both on land and offshore. Due to the concentration and brightness of flares, it is challenging to visually distinguish the land from the ocean in visible light images taken at night.\n\nSwitching to midwave infrared imagery clarifies the boundary between land and water because warm ocean waters appear brighter than the cooler land and cold clouds. In both visible and infrared views, the gas flares shine brightly, emphasizing their intensity and concentration.\n\n---\n\n**Summary Table: Key Facts about Gas Flaring in the Niger Delta, Nigeria**\n\n| Fact                                                | Details                                                                       |\n|-----------------------------------------------------|-------------------------------------------------------------------------------|\n| Proportion of world's gas flares in Nigeria         | ~10%                                                                          |\n| Largest countries by number of gas flares           | 1. Russia<br>2. Nigeria                                                       |\n| Concentration area                                 | Niger River Delta, Nigeria (land and offshore)                                |\n| Brightest features at night (Delta region)          | Gas flares (outshine nearby cities)                                           |\n| Per capita electricity generation (Nigeria)         | Among the lowest globally                                                     |\n| Distinguishing land and water in night imagery      | Infrared imagery reveals boundaries due to temperature differences            |\n\n---\n\n**Satellite Imagery Description (for figures referenced but not shown)**\n\n- **Visible Light Image:** Shows the Niger Delta at night. Gas flares appear as the brightest spots, significantly outshining city lights.\n- **Midwave Infrared Image:** Clarifies land-water boundaries. Warm ocean waters are brighter than the cool land; gas flares are bright in both images, making them stand out in the region.\n\n---\n\n*Page Footer: 146 Earth at Night*", "page_embedding_text_3_large": [0.009074999950826168, 0.0020707000512629747, 0.0008475947543047369, -0.032974328845739365, 0.0013324248138815165, -0.04508478567004204, -0.006984690669924021, 0.020989367738366127, -0.023216940462589264, 0.012133988551795483, 0.02174234949052334, 0.012847752310335636, -0.006392501760274172, -0.020597189664840698, -0.012330077588558197, 0.012792847119271755, -0.0030805584974586964, -0.019985392689704895, 0.01018094178289175, 0.029978089034557343, -0.024111105129122734, -0.025758253410458565, -0.02304438129067421, -0.006984690669924021, 0.011977117508649826, 0.019938331097364426, -0.003155072219669819, 0.007047439459711313, -0.015310630202293396, 0.028048573061823845, 0.01871473528444767, 0.006812132429331541, 0.004278662148863077, -0.02409541793167591, -0.01672247052192688, 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The image is annotated to indicate the following features:\n\n- **City lights (Benin City):** Bright concentrations of light representing urban areas.\n- **City lights (Port Harcourt):** Another cluster of city lights marking a major city.\n- **Gas flares:** Numerous isolated bright spots, distinct from urban lighting, indicating locations of gas flaring associated with oil extraction.\n- **Cloud:** A slightly illuminated area on the lower right, marking the location of a cloud.\n- **Scale:** The scale bar indicates 50 km for reference.\n\n**Verbalized Summary of Image:**\n- The urban areas (Benin City and Port Harcourt) appear as clusters of closely packed bright lights.\n- Gas flares are observed as scattered, isolated light sources, mostly south and southeast of the city centers, indicating widespread oil-related industrial activity.\n- A large, brighter spot in the lower right part of the image indicates a cloud, which is illuminated and visible in the night-time photography.\n- The distribution of city lights and gas flares suggests a mixture of urbanization and oil extraction activities in the region.\n\n---\n\n## Figure 2\n\n**Date:** December 18, 2013\n\nThis daytime satellite image focuses on the coastal region of the Niger Delta, showing distinctions between land, ocean, and river features, along with locations of gas flares.\n\n- **Niger River:** The main river channel is labeled and visible, spreading across the land towards the delta.\n- **Land:** Most of the upper and central part of the image is labeled as land.\n- **Gas flares:** Several points along the land-ocean interface are labeled as gas flares, indicating industrial activity.\n- **Ocean:** The lower and left side of the image is the ocean.\n- **Cloud:** A marked area in the lower right, denoted as a cloud.\n- **Scale:** The scale bar corresponds to 50 km for distance reference.\n\n**Verbalized Summary of Image:**\n- The image clearly shows the land/ocean boundary, with the Niger River delta system visible as lighter patterns extending towards the ocean.\n- Gas flaring sites are noted at the interface between the land and ocean, corresponding to areas of oil extraction and processing.\n- The position and labeling of clouds indicate weather conditions on the day of imaging.\n- The physical segregation between land, the Niger River, and the ocean is apparent, with gas flares clustered primarily along the coastal (delta) region.\n\n---\n\n**Page 147**", "page_embedding_text_3_large": [0.012559949420392513, 0.01447089109569788, -0.0038892561569809914, -0.01219246070832014, -0.02146134525537491, -0.04925983026623726, -0.024041932076215744, 0.017394468188285828, -0.03475627303123474, -0.0020946860313415527, 0.01989339292049408, 0.011726975440979004, 0.008648236282169819, -0.0003830560017377138, 0.007607017643749714, -0.0019487113459035754, -0.023617278784513474, -0.016063343733549118, 0.013172430917620659, 0.02595287375152111, -0.007766262628138065, -0.04429464787244797, 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Offshore oil drilling continues in that region today, and signs of the activity are visible from space as crude oil often contains natural gas, which is disposed of by flaring, as noted earlier. On September 13, 2009, the Advanced Land Imager (ALI) on NASA's Earth Observing-1 (EO-1) satellite captured a natural-color image of gas flares and an oil slick in the Bah\u00eda de Campeche (see figure and description below).\n\n---\n\n### Figure: Location of Gas Flares in the Bay of Campeche\n\nThis figure presents a global perspective, showing the globe with a pinpoint marker indicating the location of the Bah\u00eda de Campeche on the southern margin of the Gulf of Mexico, west of Mexico's Yucat\u00e1n Peninsula.\n\n---\n\n### Figure: Satellite Image of Gas Flares and Oil Slick in the Bah\u00eda de Campeche\n\n**Date:** September 13, 2009\n\n**Feature Description:**\n\n| Feature         | Description                                                                                                      |\n|-----------------|------------------------------------------------------------------------------------------------------------------|\n| Gas flares      | Several points in the image are labeled as \"gas flare\" or \"gas flares.\" These are visible as concentrated spots with dark smoke plumes emanating from them, indicating the burning of flared gas on offshore oil platforms. Locations of these flares are scattered across the image. |\n| Oil slick       | A visible light-colored streak (\"oil slick\") is present in the image, indicating the presence of oil on the water's surface. The slick runs diagonally through the frame, signaling escaped hydrocarbons associated with drilling activities.        |\n| Scale/Direction | The image includes a north arrow and a 1 km scale bar in the bottom left corner, allowing estimation of distances between features and their geographic orientation.                                      |\n\nThis high-resolution natural-color satellite image clearly shows multiple gas flares\u2014visible due to their smoke plumes\u2014and a considerable oil slick on the surface waters of the Bah\u00eda de Campeche, capturing the extent and environmental impact of offshore oil production activity in the region.\n\n---\n\n<!-- PageFooter=\"148 Earth at Night\" -->", "page_embedding_text_3_large": [-0.012495817616581917, -0.006876212079077959, -0.0020371070131659508, -0.006583524402230978, 0.013307538814842701, -0.031032711267471313, -0.016671497374773026, 0.017982738092541695, -0.03306201472878456, 0.017889078706502914, 0.02216622233390808, 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-0.006591329351067543, -0.010903595946729183, 0.009124054573476315, 0.006587426643818617, -0.003851771354675293, -0.0216042622923851, -0.02745801769196987, 0.0009424547315575182, 0.0004763494071085006, -0.0038732353132218122, 0.00932698417454958], "page_number": 164}, {"id": "earth_at_night_508_page_165_verbalized", "page_chunk": "# Mining\n\nSunglint\u2014sunlight reflecting off the ocean surface and back to the satellite\u2014gives the ocean a silver-gray appearance and also illuminates the oil slick, which smoothed the ocean surface. Nearly three years later (July 26, 2012), the VIIRS DNB on the Suomi NPP satellite captured a nighttime image (below) of city lights and oil production. Gas flares appear as extremely bright central spots surrounded by a circular halo. Electric lights in cities and oil production sites vary in brightness, and do not have a halo.\n\n---\n\n### Figure: Nighttime Lights in the Gulf of Mexico Region (July 26, 2012)\n\nThe satellite image captured by the VIIRS DNB instrument on July 26, 2012, shows the Gulf of Mexico coastline and the Yucatan Peninsula, highlighting the locations of oil production and city lights.\n\n#### Verbal Table of Key Features:\n\n| Feature                      | Location             | Description                                         |\n|------------------------------|----------------------|-----------------------------------------------------|\n| Offshore oil production      | Gulf of Mexico (off Yucatan coast) | Cluster of very bright lights with visible halos, corresponding to gas flares on offshore oil platforms. |\n| Onshore oil production       | Near coastline, north of Yucatan Peninsula | Smaller and scattered bright areas, indicating oil production sites on land. |\n| City lights                  | Yucatan Peninsula and surrounding mainland | Numerous light sources of varying brightness, without halos, corresponding to cities and towns. |\n\n- The bright central spots with halos in the Gulf of Mexico mark offshore gas flares from oil production platforms.\n- Along the coast and inland in the Yucatan Peninsula, many light sources are visible, representing onshore oil production and urban areas.\n- Scale: The image includes a reference scale, indicating distances of 50 km for spatial context.\n\n---\n\n**Geographical Labels:**\n- \"Gulf of Mexico\" occupies the upper and central portions of the image, showing the offshore oil extraction region.\n- \"Yucatan Peninsula\" is labeled in the lower right, representing the landmass with more densely clustered urban and oil production sites.\n- The north direction and scale bar are included for orientation.\n\n---\n\n**Page 149**", "page_embedding_text_3_large": [0.018015025183558464, -0.005605481564998627, 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Cities and people are scarce, but satellite imagery shows the area has been aglow at night in recent years. The reason: the area is home to the Bakken shale formation, a site where gas and oil production are booming. On November 12, 2012, the VIIRS DNB on the Suomi NPP satellite captured this nighttime view of widespread drilling throughout the area. Most of the bright specks are lights associated with drilling equipment and temporary housing near drilling sites, although a few are evidence of gas flaring. Some of the brighter areas correspond to towns and cities including Williston, Minot, and Dickinson. When VIIRS acquired the image, the Moon was in its waning crescent phase, so the landscape reflected only a small amount of its light.\n\n---\n\n## Figure 1: Location of Gas Drilling in North Dakota\n\nA globe indicates the location of Bakken shale formation in north-central North America. The marker points to northwestern North Dakota in the United States. This region is shown relative to the continent and neighboring Canada.\n\n---\n\n## Figure 2: Nighttime Satellite View of Drilling Activity (November 12, 2012)\n\nThis is a nighttime satellite image highlighting widespread artificial lighting in northwestern North Dakota, centered on the Bakken shale oil fields, recorded on November 12, 2012. Key features include:\n\n- The U.S. state border between Montana and the Canadian province of Saskatchewan is outlined for orientation.\n- The image is dotted with bright specks\u2014the majority of which are drilling sites and temporary housing illuminated at night.\n- A few of the bright spots are due to gas flaring.\n- Some larger clusters of lights correspond to established towns such as Williston, Minot, and Dickinson (not explicitly labeled on the image, but described in the accompanying text).\n- The image scale is shown: the provided scale bar indicates a length of 50 km for reference.\n- North direction is indicated.\n\n**Verbalized Table Representation of Nighttime Brightness and Drilling Site Density**  \nWhile the image itself is not a quantitative graph, its content suggests the following information about nighttime brightness and drilling activity in the region:\n\n| Location (approx.)      | Visible Light at Night? | Description                                      |\n|-------------------------|------------------------|--------------------------------------------------|\n| Williston area          | High                   | City, major area of drilling                      |\n| Minot area              | Moderate/High          | City, moderate drilling nearby                    |\n| Dickinson area          | Moderate/High          | City, moderate drilling nearby                    |\n| Bakken field (general)  | Scattered/High         | Numerous bright specks (drilling, flares, camps)  |\n| Rural Montana border    | Few/Low                | Sparse, fewer bright spots                        |\n| Saskatchewan border     | Sparse                 | Very low density of lights                        |\n\n**Key Point:**  \nRemote areas of northwestern North Dakota, usually very dark at night, now have widespread illumination from oil and gas drilling activity\u2014making the Bakken region one of the brightest rural areas visible from space in the United States during oil boom years.\n\n---\n\n<!-- PageFooter=\"150 Earth at Night\" -->", "page_embedding_text_3_large": [0.032790545374155045, -0.0002699221658986062, -0.0059022982604801655, -0.0008472557528875768, 0.026312414556741714, -0.018906548619270325, -0.017674904316663742, 0.029063619673252106, -0.0345180481672287, 0.023705165833234787, 0.04098018631339073, 0.02183370478451252, 0.017083074897527695, -0.031814828515052795, -0.0195783544331789, 0.046162690967321396, -0.02858375944197178, 0.01761092245578766, 0.015955399721860886, -0.00390287465415895, -0.0036569456569850445, -0.0034789969213306904, 0.005290474742650986, 0.018682613968849182, 0.03239066153764725, 0.02981540374457836, 0.021545788273215294, 0.018954535946249962, 0.019834281876683235, 0.009493263438344002, 0.01693911664187908, 0.014747748151421547, 0.004690647590905428, -0.025544635951519012, -0.0005458426312543452, 0.029335541650652885, 0.028679730370640755, 0.023481229320168495, 0.0380050428211689, 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Manitoba, Canada. Bright spots and illuminated areas indicate human activity and are especially concentrated around active mining and oil extraction sites.\n\n- **Locations labeled on the map:**\n  - Manitoba (at the top, north of the yellow boundary line)\n  - Bakken Formation (label near the top left, representing the geological area of oil extraction)\n  - Williston (prominent illuminated area in the west-central part of the image)\n  - Minot (significant cluster of lights, east of Williston)\n  - Dickinson (illuminated spot toward the south-central part of the image)\n  - North Dakota (the main region of the image, south of the yellow border)\n\n### Description\n\nThe map clearly shows clusters of bright lights indicating high levels of nighttime activity. These areas correspond to oil drilling, mining operations (primarily in the Bakken Formation), and significant population centers. The illuminated grid pattern, especially concentrated between Williston and Dickinson, highlights the extent of ongoing resource extraction in northern North Dakota.\n\n**Key features:**\n- Dense illumination pattern west of Minot, associated with oil field operations in the Bakken Formation.\n- Major towns (Williston, Minot, Dickinson) are marked by larger clusters of light, indicating both urban activity and their role as logistical and population hubs for mining activity.\n- The yellow boundary lines demarcate the border with Manitoba, showing part of the formation extends into Canada.\n\n---\n\n*Page 151*", "page_embedding_text_3_large": [0.03944447264075279, -0.008952046744525433, -0.011024422012269497, -0.006848854944109917, 0.002538467524573207, -0.030677324160933495, -0.005419763270765543, 0.008235574699938297, -0.04061548039317131, 0.027580315247178078, 0.024976365268230438, 0.027534091845154762, -0.00024580571334809065, -0.01602431759238243, 0.01582401432096958, 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