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Federal
Combined wildfire datasets for the United States and certain territories, 1800s-Present recent views
Department of the Interior —
First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is... -
Federal
Combined wildfire datasets for the United States and certain territories, 1800s-Present (summary rasters) recent views
Department of the Interior —
First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are... -
Federal
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2011 recent views
Department of the Interior —
This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2011 that do not meet... -
Federal
Landsat Burned Area Products Data Release - Landsat 5 TM products recent views
Department of the Interior —
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2009 recent views
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Combined wildfire datasets for the United States and certain territories, 1878-2019 recent views
Department of the Interior —
This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by... -
Federal
Burned Area Reflectance Classification Thematic Burn Severity Mosaic for CONUS in 2020 recent views
Department of the Interior —
These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI,... -
Federal
National Park Service Thematic Burn Severity Mosaic for CONUS in 1988 recent views
Department of the Interior —
The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2022 recent views
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Prairie Fire Assessment (ver. 8.0, August 2024) recent views
Department of the Interior —
This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2021 recent views
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic for CONUS in 2021 recent views
Department of the Interior —
The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire... -
Federal
Combined wildfire datasets for the United States and certain territories, 1800s-Present (combined wildland fire polygons) recent views
Department of the Interior —
First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are... -
Federal
Monitoring Trends in Burn Severity (ver. 9.0, August 2024) recent views
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including... -
Federal
Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) recent views
Department of the Interior —
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to... -
Federal
Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration recent views
Department of the Interior —
Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer... -
Federal
Data release for Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA recent views
Department of the Interior —
Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides... -
Federal
Data Release for the Validation of the USGS Landsat Burned Area Product across the conterminous U.S. recent views
Department of the Interior —
Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on... -
Federal
Landsat Burned Area Products Collection 2 Data Release (ver. 2.0, April 2024) recent views
Department of the Interior —
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready... -
Federal
Contemporary fire history metrics for the conterminous United States (1984 - 2022) recent views
Department of the Interior —
Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse...