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GLAD Alerts Footprint
This data set, created by the GLAD (Global Land Analysis & Discovery) lab at the University of Maryland and supported by Global Forest Watch, is the first Landsat-based... -
Monitoring Trends in Burn Severity Fire Occurrence Locations (Feature Layer)
The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland... -
Monitoring Trends in Burn Severity Burned Area Boundaries (Feature Layer)
The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland... -
Data from: Monitoring standing herbaceous biomass and thresholds in semiarid ...
Tabular data from the manuscript "Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support...