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Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 -2015)

February 27, 2018

The U.S. Geological Survey (USGS) has developed and implemented an automated algorithm that identifies burned areas in temporally-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 predictors. Outputs of the BAECV algorithm consist of burn probabilities for each Landsat scene, and annual composites of: burn probability, and burn classification. 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_2017/

Publication Year 2018
Title Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 -2015)
DOI 10.5066/F73B5X76
Authors Todd J Hawbaker, Melanie K Vanderhoof, Yen-Ju G Beal, Joshua D Takacs, Gail L Schmidt (CTR), Jeff T Falgout, Brad Williams, Nicole M. Brunner, Megan K. Caldwell, Joshua J Picotte, Stephen M Howard, Susan Stitt, John L Dwyer
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Geosciences and Environmental Change Science Center