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The Thematic Mapper has become a useful tool in the study of albedo and its relationship to global warming and climate change. The TM on the Landsat 5 has proven useful in determining the amount of ice loss on glaciers due to melting. Landsat 7 carries an enhanced TM sensor known as the Enhanced Thematic Mapper Plus (ETM+).
The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth.It is a joint NASA / USGS program. On 23 July 1972, the Earth Resources Technology Satellite was launched.
Google Earth is a web and computer program that renders a 3D representation of Earth based primarily on satellite imagery.The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles.
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. Landsat-9 will extend the Landsat program to maintain the time series of these type of data. Megha-Tropiques: Active CNES and ISRO: 2011
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
Landsat Program: Landsat 5-8 Operational Land Imager (OLI) [5] Developed by Ball Aerospace & Technologies Corporation, the OLI is a crucial aspect of modern LandSat vehicles. Using 7000 sensors per band (Spectrum band), the OLI on NASA's most recent LandSat (LANDSAT 8) Satellite, will image/view the entire earth every 16 days.
Landsat 7 Schematic. Landsat 7 was designed to last for five years, and has the capacity to collect and transmit up to 532 images per day. It is in a polar, Sun-synchronous orbit, meaning it scans across the entire Earth's surface.
As well as monitoring plant growth, Sentinel-2 is used to map changes in land cover and to monitor the world's forests. It also provides information on pollution in lakes and coastal waters. Images of floods, volcanic eruptions [19] and landslides contribute to disaster mapping and help humanitarian relief efforts. Examples of applications include: