Landsat 8-9 OLI/TIRS Collection 2

31:T822, U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center
20060510
Landsat 8-9 OLI/TIRS Collection 2
Remote-Sensing Image
U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center
Sioux Falls, South Dakota, USA
https://earthexplorer.usgs.gov

The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972 through the latest Landsat Mission.
The Landsat archive provides a rich collection of information about the Earth's land surface. Major characteristics of changes to the surface of the planet can be detected, measured, and analyzed using Landsat data. The information obtainable from the historical and current Landsat data play a key role in studying surface changes through time.
Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. As a joint initiative between the U.S. Geological Survey (USGS) and the National Aeronautical Space Administration (NASA), the Landsat Project and the data it collects support government, commercial, industrial, civilian, military, and educational communities throughout the United States and world. Landsat 8 Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) Collection 2 provides a quality-controlled selection of radiometrically calibrated and consistently geolocated data; particular geodetic accuracy and error tolerances are specified to align pixels for time series analysis through the full Landsat record. (https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collections) 32:[{"id":"6c03ea1f3bd849872dc777398b04f05ce9c3b5b132bf7b5f20468ec6e1de630c93d7319f1ad35c4460e501b60c6b3e0fbefd0f10dbb86598d28d5242b429166e","href":"https://static.observableusercontent.com/files/6c03ea1f3bd849872dc777398b04f05ce9c3b5b132bf7b5f20468ec6e1de630c93d7319f1ad35c4460e501b60c6b3e0fbefd0f10dbb86598d28d5242b429166e","name":"LC09_L2SP_011010_20230718_20230720_02_T1_QA_PIXEL.TIF","type":"image/tiff","lastModified":1690121156743.165,"size":6481995}] 2f:{"title":"Mumbai 2023 | LandSat C09_L2SP - T1_QA_RADSAT","cells":[{"id":326,"value":"# Mumbai 2023 |
LandSat [C09_L2SP - T1_QA_RADSAT](https://earthexplorer.usgs.gov/scene/metadata/fgdc/5e83d14f2fc39685/LC90110112023199LGN00/)","pinned":false,"hidden":false,"mode":"md"},{"id":340,"value":"Thanks to [Nicolas Lambert](https://observablehq.com/@neocartocnrs) for [this technique](https://observablehq.com/@neocartocnrs/display-a-geotiff-with-georaster).","pinned":false,"hidden":false,"mode":"md"},{"id":387,"value":"$31","pinned":false,"hidden":false,"mode":"html"},{"id":310,"value":"[**`nepal_oli_2015152_geo.tif`**](https://eoimages.gsfc.nasa.gov/images/imagerecords/85000/85977/nepal_oli_2015152_geo.tif) (4000x4000, GeoTIFF)
\nSensor(s): Terra - ASTER, Landsat 8 - OLI
\nData Date: April 23, 2015
\nVisualization Date: June 3, 2015\n","pinned":false,"hidden":false,"mode":"md"},{"id":192,"value":"DOM.download(\n await new Promise((d) => canvas.toBlob(d)),\n `raster`,\n \"Download PNG\"\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":72,"value":"canvas = viewgeotiff(geotiff)","pinned":false,"hidden":false,"mode":"ojs"},{"id":45,"value":"async function viewgeotiff(blob, options = {}) {\n let arrayBuffer = await Files.buffer(geotiff);\n let georaster = await parseGeoRaster(arrayBuffer);\n const ratio = georaster.height / georaster.width;\n\n let height = ratio <= 1 ? 512 : Math.round(512 / ratio);\n let width = ratio >= 1 ? 512 : Math.round(512 / ratio);\n if (options.width) {\n width = options.width;\n height = ratio * width;\n }\n if (options.height) {\n height = options.height;\n width = height / ratio;\n }\n\n const canvas = georaster.toCanvas({ height, width });\n return canvas;\n const dataUrl = canvas.toDataURL();\n const image = document.createElement(\"img\");\n image.src = dataUrl;\n return image;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":49,"value":"geotiff = FileAttachment(\"LC09_L2SP_011010_20230718_20230720_02_T1_QA_PIXEL.TIF\").blob()","pinned":false,"hidden":false,"mode":"ojs"},{"id":319,"value":"parseGeoRaster = require(\"georaster\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":331,"value":"---","pinned":false,"hidden":false,"mode":"md"}],"files":"$W32","stdlib":"1","titling":"auto"}