Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S. (ver. 2.0, May 2020)
Dates
Publication Date
2017-07-06
Time Period
2013
Time Period
2008
Time Period
2003
Time Period
1998
Time Period
1993
Time Period
1988
Last Revision
2020-05-11
Citation
Vanderhoof, M.K., Fairaux, N., Beal, Y.G., and Hawbaker, T.J., 2020, Data Release for the Validation of the USGS Landsat Burned Area Product across the conterminous U.S. (ver. 2.0, May 2020): U.S. Geological Survey data release, https://doi.org/10.5066/F7T151VX.
Summary
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 human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative to the BAECV algorithm and products, and updated validation metrics. We also present spatial and temporal patterns of burned area across the conterminous U.S. and a comparison with other burned area datasets. The BA algorithm identifies burned areas in analysis ready data (ARD) time-series of Landsat imagery from 1984 through 2018 using machine [...]
Summary
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 human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative to the BAECV algorithm and products, and updated validation metrics. We also present spatial and temporal patterns of burned area across the conterminous U.S. and a comparison with other burned area datasets. The BA algorithm identifies burned areas in analysis ready data (ARD) time-series of Landsat imagery from 1984 through 2018 using machine learning, thresholding, and image segmentation. Validation with reference data from high-resolution commercial satellite imagery resulted in omission and commission error rates averaging 19% and 41%, respectively. In comparison, validation with Landsat reference data had omission and commission error rates averaging 40% and 28%, respectively when burned areas in cultivated crops and pasture/hay land-cover types were excluded. Both validation tests documented lower commission error rates relative to the BAECV products. The BA products will be routinely produced as new Landsat data are collected and provide a unique data source to monitor and assess the spatial and temporal patterns and the impacts of fire. Additionally, the BA algorithm and products confirm the ability to generate consistent fire information over large spatial and temporal extents using moderate-resolution satellite imagery.
First posted - July 6, 2017 (available from author)
Revised - May 11, 2020 (version 2.0)
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Related External Resources
Type: Publication that references this resource
Hawbaker, T.J., Vanderhoof, M.K., Schmidt, G.L., Beal, Y.J., Picotte, J.J., Takacs, J.D., Falgout, J.T., Dwyer, J.L. (2020) The Landsat burned area algorithm and products for the conterminous United States. Remote Sensing of Environment. 244, https://doi.org/10.1016/j.rse.2020.111801.
Vanderhoof, M.K., Fairaux, N., Beal, Y.-J.G., and Hawbaker, T.J., 2017, Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States: Remote Sensing of Environment, v. 198, p. 393–406, https://doi.org/10.1016/j.rse.2017.06.025.
