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Landsat 5 had a maximum transmission bandwidth of 85 Mbit/s.It was deployed at an altitude of 705.3 km (438.3 mi), and it took about 16 days to scan the entire Earth.The satellite was an identical copy of Landsat 4 and was originally intended as a backup.
[97] [98] Google Earth Engine has become a platform that makes Landsat and Sentinel-2 data easily accessible to researchers in collaboration with the Google Cloud Storage. [97] Google Earth Engine provides a data catalog along with computers for analysis; this allows scientists to collaborate using data, algorithms, and visualizations. [99]
Landsat 5: 1 March 1984: 5 June 2013 [12] 29 years, 3 months and 4 days: Nearly identical copy of Landsat 4. Longest Earth-observing satellite mission in history. Designed and built at the same time as Landsat 4, this satellite carried the same payload consisting of a Multi Spectral Scanner (MSS) as well as a Thematic Mapper. Landsat 6: 5 ...
Landsat-7: Active NASA and USGS 1999 Images Earth's land surfaces and coastal areas with global coverage at high spatial resolution. [18] Landsat-8: Active NASA and USGS 2013 Follow on to Landsat-7 with improved imager OLI and thermal sensor TIRS. Landsat-9: Active NASA and USGS 2021 Follow on to Landsat-8 with OLI sensor and thermal sensor TIRS-2.
The computer power to fully analyze it was provided by Moore and Google Earth Engine. For the release of Google Earth Engine in 2010, Moore, Hansen, and CONAFOR the Mexican government agency, processed 53,000 images in 15,000 computer hours to create the highest resolution forest and water map of Mexico ever.
Brian A McClendon (born 1964) is an American software executive, engineer, and inventor. [1] He was a co-founder and angel investor in Keyhole, Inc., a geospatial data visualization company that was purchased by Google in 2004 [2] [3] to produce Google Earth.
A Thematic Mapper (TM) is one of the Earth observing sensors introduced in the Landsat program. The first was placed aboard Landsat 4 (decommissioned in 2001), and another was operational aboard Landsat 5 up to 2012.
Normalized Difference Water Index (NDWI) may refer to one of at least two remote sensing-derived indexes related to liquid water: . One is used to monitor changes in water content of leaves, using near-infrared (NIR) and short-wave infrared (SWIR) wavelengths, proposed by Gao in 1996: [1]
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