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/...
Categories: Data Release - Revised;
Tags: Alabama,
Arizona,
Arkansas,
BAECV,
Burned area, All tags...
California,
Colorado,
Connecticut,
Delaware,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Landsat,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Prescribed fire,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
USGS Science Data Catalog (SDC),
United States,
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wildfire,
Wildland fire,
Wisconsin,
Wyoming, Fewer tags
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