{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": true
},
"source": [
"Table of Contents
\n",
""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import ee\n",
"import geemap"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create an interactive map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map(center=(40, -100), zoom=4)\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add basemaps"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.add_basemap('HYBRID')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.add_basemap('OpenTopoMap')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.basemap_demo()\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add WMS and XYZ tile layers"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# https://viewer.nationalmap.gov/services/\n",
"url = 'https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}'\n",
"Map.add_tile_layer(url, name='Google Satellite', attribution='Google')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"naip_url = 'https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?'\n",
"Map.add_wms_layer(url=naip_url, layers='0', name='NAIP Imagery', format='image/png', shown=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add Earth Engine data layers"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Add Earth Engine dataset\n",
"dem = ee.Image('USGS/SRTMGL1_003')\n",
"landcover = ee.Image(\"ESA/GLOBCOVER_L4_200901_200912_V2_3\").select('landcover')\n",
"landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')\n",
"states = ee.FeatureCollection(\"TIGER/2018/States\")\n",
"\n",
"# Set visualization parameters.\n",
"vis_params = {\n",
" 'min': 0,\n",
" 'max': 4000,\n",
" 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}\n",
"\n",
"# Add Earth Eninge layers to Map\n",
"Map.addLayer(dem, vis_params, 'STRM DEM', True, 0.5)\n",
"Map.addLayer(landcover, {}, 'Land cover')\n",
"Map.addLayer(landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200}, 'Landsat 7')\n",
"Map.addLayer(states, {}, \"US States\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Search Earth Engine data catalog"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.search_locations"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.search_loc_geom"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"location = Map.search_loc_geom\n",
"print(location.getInfo())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Search Earth Engine API documentation"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_search()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use Insector tool"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"\n",
"# Add Earth Engine dataset\n",
"dem = ee.Image('USGS/SRTMGL1_003')\n",
"landcover = ee.Image(\"ESA/GLOBCOVER_L4_200901_200912_V2_3\").select('landcover')\n",
"landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')\n",
"states = ee.FeatureCollection(\"TIGER/2018/States\")\n",
"\n",
"# Set visualization parameters.\n",
"vis_params = {\n",
" 'min': 0,\n",
" 'max': 4000,\n",
" 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}\n",
"\n",
"# Add Earth Eninge layers to Map\n",
"Map.addLayer(dem, vis_params, 'STRM DEM', True, 0.5)\n",
"Map.addLayer(landcover, {}, 'Land cover')\n",
"Map.addLayer(landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200}, 'Landsat 7')\n",
"Map.addLayer(states, {}, \"US States\")\n",
"\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use Plotting tool"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"\n",
"landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \\\n",
" .select([0, 1, 2, 3, 4, 6])\n",
"landsat_vis = {\n",
" 'bands': ['B4', 'B3', 'B2'], \n",
" 'gamma': 1.4\n",
"}\n",
"Map.addLayer(landsat7, landsat_vis, \"LE7_TOA_5YEAR/1999_2003\")\n",
"\n",
"hyperion = ee.ImageCollection('EO1/HYPERION') \\\n",
" .filter(ee.Filter.date('2016-01-01', '2017-03-01'))\n",
"hyperion_vis = {\n",
" 'min': 1000.0,\n",
" 'max': 14000.0,\n",
" 'gamma': 2.5,\n",
"}\n",
"Map.addLayer(hyperion, hyperion_vis, 'EO1/HYPERION')\n",
"\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.set_plot_options(plot_type='bar', add_marker_cluster=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create a split-panel map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.split_map(left_layer='HYBRID', right_layer='ROADMAP')\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.split_map(left_layer='NLCD 2016 CONUS Land Cover', right_layer='NLCD 2001 CONUS Land Cover')\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"nlcd_2001 = ee.Image('USGS/NLCD/NLCD2001').select('landcover')\n",
"nlcd_2016 = ee.Image('USGS/NLCD/NLCD2016').select('landcover')\n",
"\n",
"left_layer = geemap.ee_tile_layer(nlcd_2001, {}, 'NLCD 2001')\n",
"right_layer = geemap.ee_tile_layer(nlcd_2016, {}, 'NLCD 2016')\n",
"\n",
"Map = geemap.Map()\n",
"Map.split_map(left_layer, right_layer)\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add marker cluster"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import geemap\n",
"import json\n",
"import os\n",
"import requests\n",
"from geemap import geojson_to_ee, ee_to_geojson\n",
"from ipyleaflet import GeoJSON, Marker, MarkerCluster"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"file_path = os.path.join(os.getcwd(), 'us-cities.json')\n",
"\n",
"if not os.path.exists(file_path):\n",
" url = 'https://github.com/giswqs/geemap/raw/master/examples/data/us-cities.json'\n",
" r = requests.get(url)\n",
" with open(file_path, 'w') as f:\n",
" f.write(r.content.decode(\"utf-8\")) \n",
"\n",
"with open(file_path) as f:\n",
" json_data = json.load(f)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"maker_cluster = MarkerCluster(\n",
" markers=[Marker(location=feature['geometry']['coordinates'][::-1]) for feature in json_data['features']],\n",
" name = 'Markers')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.add_layer(maker_cluster)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ee_fc = geojson_to_ee(json_data)\n",
"Map.addLayer(ee_fc, {}, \"US Cities EE\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add customized legends"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.add_basemap('HYBRID')\n",
"landcover = ee.Image('USGS/NLCD/NLCD2016').select('landcover')\n",
"Map.addLayer(landcover, {}, 'NLCD Land Cover')\n",
"Map.add_legend(builtin_legend='NLCD')\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.add_basemap('HYBRID')\n",
"Map.add_basemap('FWS NWI Wetlands')\n",
"Map.add_legend(builtin_legend='NWI')\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"\n",
"legend_dict = {\n",
" '11 Open Water': '466b9f',\n",
" '12 Perennial Ice/Snow': 'd1def8',\n",
" '21 Developed, Open Space': 'dec5c5',\n",
" '22 Developed, Low Intensity': 'd99282',\n",
" '23 Developed, Medium Intensity': 'eb0000',\n",
" '24 Developed High Intensity': 'ab0000',\n",
" '31 Barren Land (Rock/Sand/Clay)': 'b3ac9f',\n",
" '41 Deciduous Forest': '68ab5f',\n",
" '42 Evergreen Forest': '1c5f2c',\n",
" '43 Mixed Forest': 'b5c58f',\n",
" '51 Dwarf Scrub': 'af963c',\n",
" '52 Shrub/Scrub': 'ccb879',\n",
" '71 Grassland/Herbaceous': 'dfdfc2',\n",
" '72 Sedge/Herbaceous': 'd1d182',\n",
" '73 Lichens': 'a3cc51',\n",
" '74 Moss': '82ba9e',\n",
" '81 Pasture/Hay': 'dcd939',\n",
" '82 Cultivated Crops': 'ab6c28',\n",
" '90 Woody Wetlands': 'b8d9eb',\n",
" '95 Emergent Herbaceous Wetlands': '6c9fb8'\n",
"}\n",
"\n",
"landcover = ee.Image('USGS/NLCD/NLCD2016').select('landcover')\n",
"Map.addLayer(landcover, {}, 'NLCD Land Cover')\n",
"\n",
"Map.add_legend(legend_title=\"NLCD Land Cover Classification\", legend_dict=legend_dict)\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# https://developers.google.com/earth-engine/datasets/catalog/MODIS_051_MCD12Q1\n",
"Map = geemap.Map()\n",
"\n",
"ee_class_table = \"\"\"\n",
"\n",
"Value\tColor\tDescription\n",
"0\t1c0dff\tWater\n",
"1\t05450a\tEvergreen needleleaf forest\n",
"2\t086a10\tEvergreen broadleaf forest\n",
"3\t54a708\tDeciduous needleleaf forest\n",
"4\t78d203\tDeciduous broadleaf forest\n",
"5\t009900\tMixed forest\n",
"6\tc6b044\tClosed shrublands\n",
"7\tdcd159\tOpen shrublands\n",
"8\tdade48\tWoody savannas\n",
"9\tfbff13\tSavannas\n",
"10\tb6ff05\tGrasslands\n",
"11\t27ff87\tPermanent wetlands\n",
"12\tc24f44\tCroplands\n",
"13\ta5a5a5\tUrban and built-up\n",
"14\tff6d4c\tCropland/natural vegetation mosaic\n",
"15\t69fff8\tSnow and ice\n",
"16\tf9ffa4\tBarren or sparsely vegetated\n",
"254\tffffff\tUnclassified\n",
"\n",
"\"\"\"\n",
"\n",
"landcover = ee.Image('MODIS/051/MCD12Q1/2013_01_01') \\\n",
" .select('Land_Cover_Type_1')\n",
"Map.setCenter(6.746, 46.529, 2)\n",
"Map.addLayer(landcover, {}, 'MODIS Land Cover')\n",
"\n",
"legend_dict = geemap.legend_from_ee(ee_class_table)\n",
"Map.add_legend(legend_title=\"MODIS Global Land Cover\", legend_dict=legend_dict)\n",
"\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use Drawing tools"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Add Earth Engine dataset\n",
"image = ee.Image('USGS/SRTMGL1_003')\n",
"\n",
"# Set visualization parameters.\n",
"vis_params = {\n",
" 'min': 0,\n",
" 'max': 4000,\n",
" 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}\n",
"\n",
"# Add Earth Engine DEM to map\n",
"Map.addLayer(image, vis_params, 'SRTM DEM')\n",
"\n",
"states = ee.FeatureCollection(\"TIGER/2018/States\")\n",
"Map.addLayer(states, {}, 'US States')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map.draw_features"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Convert JavaScripts to Python\n",
"\n",
"You can simply copy and paste your GEE JavaScripts into a code block wrapped with trip quotes and pass it to a variable. \n",
"\n",
"For example, you can grap GEE JavaScripts from [GEE Documentation](https://developers.google.com/earth-engine/image_visualization)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"js_snippet = \"\"\"\n",
"// Load an image.\n",
"var image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318');\n",
"\n",
"// Define the visualization parameters.\n",
"var vizParams = {\n",
" bands: ['B5', 'B4', 'B3'],\n",
" min: 0,\n",
" max: 0.5,\n",
" gamma: [0.95, 1.1, 1]\n",
"};\n",
"\n",
"// Center the map and display the image.\n",
"Map.setCenter(-122.1899, 37.5010, 10); // San Francisco Bay\n",
"Map.addLayer(image, vizParams, 'false color composite');\n",
"\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.js_snippet_to_py(js_snippet, add_new_cell=True, import_ee=True, import_geemap=True, show_map=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import ee\n",
"import geemap\n",
"\n",
"Map = geemap.Map()\n",
"ee.Initialize()\n",
"\n",
"# Load an image.\n",
"image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
"\n",
"# Define the visualization parameters.\n",
"vizParams = {\n",
" 'bands': ['B5', 'B4', 'B3'],\n",
" 'min': 0,\n",
" 'max': 0.5,\n",
" 'gamma': [0.95, 1.1, 1]\n",
"}\n",
"\n",
"# Center the map and display the image.\n",
"Map.setCenter(-122.1899, 37.5010, 10); # San Francisco Bay\n",
"Map.addLayer(image, vizParams, 'False color composite')\n",
"Map\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"js_snippet = \"\"\"\n",
"\n",
"// Load an image.\n",
"var image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318');\n",
"\n",
"// Create an NDWI image, define visualization parameters and display.\n",
"var ndwi = image.normalizedDifference(['B3', 'B5']);\n",
"var ndwiViz = {min: 0.5, max: 1, palette: ['00FFFF', '0000FF']};\n",
"Map.addLayer(ndwi, ndwiViz, 'NDWI', false);\n",
"\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.js_snippet_to_py(js_snippet)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import ee\n",
"import geemap\n",
"\n",
"Map = geemap.Map()\n",
"ee.Initialize()\n",
"\n",
"# Load an image.\n",
"image = ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')\n",
"\n",
"# Create an NDWI image, define visualization parameters and display.\n",
"ndwi = image.normalizedDifference(['B3', 'B5'])\n",
"ndwiViz = {'min': 0.5, 'max': 1, 'palette': ['00FFFF', '0000FF']}\n",
"Map.addLayer(ndwi, ndwiViz, 'NDWI', False)\n",
"Map\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use shapefiles "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"countries_shp = '../data/countries.shp'\n",
"countries = geemap.shp_to_ee(countries_shp)\n",
"Map.addLayer(countries, {}, 'Countries')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"states_shp = '../data/us-states.shp'\n",
"states = geemap.shp_to_ee(states_shp)\n",
"Map.addLayer(states, {}, 'US States')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cities_shp = '../data/us-cities.shp'\n",
"cities = geemap.shp_to_ee(cities_shp)\n",
"Map.addLayer(cities, {}, 'US Cities')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_to_shp(countries, filename='../data/countries_new.shp')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_export_vector(states, filename='../data/states.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create Landsat timelapse"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"label = 'Urban Growth in Las Vegas'\n",
"Map.add_landsat_ts_gif(label=label, start_year=1985, bands=['Red', 'Green', 'Blue'], font_color='white', frames_per_second=10, progress_bar_color='blue')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use time-series inspector"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"naip_ts = geemap.naip_timeseries(start_year=2009, end_year=2018)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"layer_names = ['NAIP ' + str(year) for year in range(2009, 2019)]\n",
"print(layer_names)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"naip_vis = {'bands': ['N', 'R', 'G']}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map.ts_inspector(left_ts=naip_ts, right_ts=naip_ts, left_names=layer_names, right_names=layer_names, left_vis=naip_vis, right_vis=naip_vis)\n",
"Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Export images"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Map = geemap.Map()\n",
"Map"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"image = ee.Image('LE7_TOA_5YEAR/1999_2003')\n",
"\n",
"landsat_vis = {\n",
" 'bands': ['B4', 'B3', 'B2'], \n",
" 'gamma': 1.4\n",
"}\n",
"Map.addLayer(image, landsat_vis, \"LE7_TOA_5YEAR/1999_2003\", True, 0.7)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Draw any shapes on the map using the Drawing tools before executing this code block\n",
"feature = Map.draw_last_feature\n",
"roi = feature.geometry()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"out_dir = os.path.join(os.path.expanduser('~'), 'Downloads')\n",
"filename = os.path.join(out_dir, 'landsat.tif')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_export_image(image, filename=filename, scale=90, region=roi, file_per_band=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_export_image(image, filename=filename, scale=90, region=roi, file_per_band=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"loc = ee.Geometry.Point(-99.2222, 46.7816)\n",
"collection = ee.ImageCollection('USDA/NAIP/DOQQ') \\\n",
" .filterBounds(loc) \\\n",
" .filterDate('2008-01-01', '2020-01-01') \\\n",
" .filter(ee.Filter.listContains(\"system:band_names\", \"N\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"out_dir = os.path.join(os.path.expanduser('~'), 'Downloads')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"geemap.ee_export_image_collection(collection, out_dir=out_dir)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
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