![](\"images/TimelineOnlyForWebRGB.jpg\")
\n",
"Fig 1. Time-line of the working lives of Landsats since 1972\n",
"\n",
"## Landsat 8\n",
"The Landsat 8 satellite images the entire Earth every 16 days in an 8-day offset from Landsat 7. Providing moderate-resolution imagery, from 15 meters to 100 meters, of Earth's land surface and polar regions. The Landsat 8 mission objective is to provide timely, high quality visible and infrared images of all landmass and near-coastal areas on the Earth, continually refreshing an existing Landsat database. Landsat 8 operates in the visible, near-infrared, short wave infrared, and thermal infrared spectrums. Landsat 8 captures more than 700 scenes a day. \n",
"\n",
"Landsat - 8 Contains two instruements - Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). Data captured by these sensors is organised in the following bands.\n",
"\n",
"|Landsat - 8 OLI and TIRS Bands (um)| Name|Useful for|\n",
"|----|----|----|\n",
"|30m Coastal/ Aerosol 0.435 - 0.451|Band 1|Coastal and aerosol studies|\n",
"|30m Blue 0.452 - 0.512|Band 2|Bathymetric mapping, distinguishing soil from vegetation, and deciduous from coniferous vegetation|\n",
"|30m Green 0.533 - 0.590|Band 3|Emphasizes peak vegetation, which is useful for assessing plant vigor\n",
"|\n",
"|30m Red 0.636 - 0.673|Band 4|Discriminates vegetation slopes|\n",
"|30m NIR 0.851 - 0.879|Band 5|Emphasizes biomass content and shorelines|\n",
"|30m SWIR 1 1.566- 0.651|Band 6|Discriminates moisture content of soil and vegetation; penetrates thin clouds|\n",
"|30m SWIR 2 2.107 - 2.294|Band 7|Improved moisture content of soil and vegetation and thin cloud penetration|\n",
"|15m Pancromatic 0.503 - 0.676|Band 8|15 meter resolution, sharper image definition|\n",
"|30m Cirrus 1.363 - 1.384|Band 9|Improved detection of cirrus cloud contamination|\n",
"|100m TIRS 1 10.6 - 11.19|Band 10|100 meter resolution, thermal mapping and estimated soil moisture|\n",
"|100m TIRS 2 11.5 - 12.51|Band 11|100 meter resolution, Improved thermal mapping and estimated soil moisture|\n",
"\n",
"![](\"images/MSS-thru-L9-wavelengths.jpg\")
\n",
"Fig 2. Landsat 8 Spectral Bands and Wavelengths compared to Landsat 7 ETM+\n",
"\n",
"A Quality Assessment band is also included with each Landsat 8 data product. This band allows users to apply per pixel filters to the Landsat 8 Operational Land Imager (OLI)-only and Landsat 8 OLI/Thermal Infrared Sensor (OLI/TIRS)-combined data products.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import modules"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# %matplotlib inline\n",
"import sys\n",
"import warnings\n",
"import datacube\n",
"import matplotlib.pyplot as plt\n",
"from datacube.storage import masking\n",
"from utils.utils import (\n",
" lat_lon_to_epsg,\n",
" three_band_image,\n",
" load_config_extents,\n",
" transform_to_wgs,\n",
" load_config)\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Available Landsat products\n",
"The `list_products` method in the Datacube class displays the names and details of all available products. In the below cell we will query what Landsat 8 Products are currently indexed in our instance."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"| \n", " | description | \n", "product_type | \n", "crs | \n", "resolution | \n", "spatial_dimensions | \n", "
|---|---|---|---|---|---|
| name | \n", "\n", " | \n", " | \n", " | \n", " | \n", " |
| ls8_collection1_AMA_ingest | \n", "Landsat 8 USGS Collection 1 Higher Level SR sc... | \n", "LaSRC | \n", "NaN | \n", "NaN | \n", "NaN | \n", "
| ls8_l1_pc_usgs | \n", "Landsat 8 USGS Level 1 Pre-Collection OLI-TIRS | \n", "L1T | \n", "NaN | \n", "NaN | \n", "NaN | \n", "
| ls8_level1_usgs | \n", "Landsat 8 USGS Level 1 Collection-1 OLI-TIRS | \n", "L1TP | \n", "NaN | \n", "NaN | \n", "NaN | \n", "
| ls8_usgs_sr_scene | \n", "Landsat 8 USGS Collection 1 Higher Level SR sc... | \n", "LEVEL2_USGS | \n", "NaN | \n", "NaN | \n", "NaN | \n", "
![](\"images/indexed_areas.png\")
\n",
"Fig 3. You are able to access any area marked out in yellow with real time data from our ODC instance.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Below is a demonstration of how to access this data using the ODC python api, if you're not a data python user you can use our data exploration notebooks to use this data."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"