AI-generated Key Takeaways
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The Global Human Modification (gHM) dataset provides a cumulative measure of human impact on land, ranging from 0.0 to 1.0, by assessing the proportion and intensity of modification at a 1 sq km resolution.
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FireCCI51 is a monthly global dataset offering information on burned areas at approximately 250m resolution, using MODIS NIR reflectance data to detect changes and ancillary data for analysis.
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CSP gHM: Global Human Modification
The global Human Modification dataset (gHM) provides a cumulative measure of human modification of terrestrial lands globally at 1 square-kilometer resolution. The gHM values range from 0.0-1.0 and are calculated by estimating the proportion of a given location (pixel) that is modified, the estimated intensity … csp fragmentation human-modification landcover landscape-gradient population -
FireCCI51: MODIS Fire_cci Burned Area Pixel Product, Version 5.1
The MODIS Fire_cci Burned Area pixel product version 5.1 (FireCCI51) is a monthly global ~250m spatial resolution dataset containing information on burned area as well as ancillary data. It is based on surface reflectance in the Near Infrared (NIR) band from the MODIS instrument onboard … burn climate-change copernicus esa fire fragmentation