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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
thumbnail
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
thumbnail
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.


map background search result map search result map Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) USGS Small-scale Dataset - Congressional Districts of the United States - 110th Congress 200710 Shapefile USGS Small-scale Dataset - Congressional Districts of the United States - 112th Congress 201101 Shapefile USGS Combined Vector for Galen, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Hickman, Kentucky 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Huntdale, North Carolina 20160618 7.5 x 7.5 minute Shapefile USGS Combined Vector for Jacksboro, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Kingston Springs, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Luray, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Oakland, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Palmer Shelter, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Sugar Tree, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Tracy City, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Alamo, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McKinnon, Tennessee 20160528 7.5 x 7.5 minute Shapefile USGS Combined Vector for McKinnon, Tennessee 20160528 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Monteagle, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Orme, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Trimble, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Unionville, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Galen, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Hickman, Kentucky 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Huntdale, North Carolina 20160618 7.5 x 7.5 minute Shapefile USGS Combined Vector for Jacksboro, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Kingston Springs, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Luray, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Oakland, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Palmer Shelter, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Sugar Tree, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Tracy City, Tennessee 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Alamo, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McKinnon, Tennessee 20160528 7.5 x 7.5 minute Shapefile USGS Combined Vector for McKinnon, Tennessee 20160528 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Monteagle, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Orme, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Trimble, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Unionville, Tennessee 20160601 7.5 x 7.5 minute FileGDB 10.1 Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) USGS Small-scale Dataset - Congressional Districts of the United States - 110th Congress 200710 Shapefile USGS Small-scale Dataset - Congressional Districts of the United States - 112th Congress 201101 Shapefile