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The USDA Forest Service Burned Area Emergency Response (BAER) Imagery Support program produces geospatial data of post-fire burn severities using standardized change detection methods based on...
Search relevance: 1.00 | Views last month: 14 | Catalog Last Checked: May 05, 2026 at 11:49 PM -
This dataset represents inputs for a hierarchical Bayesian model of bird population density with respect to fire history in Yosemite National Park (YOSE) and Sequoia and Kings Canyon National...
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The geospatial products described and distributed here depict the probability of high-severity fire, if a fire were to occur, for several ecoregions in the contiguous western US. The...
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The area burned in high severity fire as well as the proportion of fires burning at high severity have been increasing in southwestern ponderosa pine (Pinus ponderosa) forests since the 1980s,...
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RdNBR is a remotely sensed index of the pre- to post-fire change in vegetation greenness, in this case the growing seasons in the year prior to and the year after the year in which the fire...
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To understand the impacts of changing climate and wildfire activity on conifer forests, we studied how wildfire and seasonal post-fire climate conditions influence western larch (Larix...
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The datasets were collected as part of a project to model fire refugia and severity from remotely sensed vegetation, topographic, fire weather, and fire growth variables. These data were used to...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: July 06, 2026 at 05:43 PM
