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Filters: partyWithName: Melanie K Vanderhoof (X) > Types: OGC WMS Layer (X)

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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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Wildfires and housing development have increased since the 1990s, presenting unique challenges for fire management. However, it is unclear how the relative influences of housing growth and changing wildfire occurrence have contributed to risk to homes. We fit a random forest using weather, land cover, topography, and past fire history to predict burn probabilities and uncertainty intervals. Then, we estimated risk at 1-km resolution and monthly intervals from 1990 through 2019 by combining predicted burn probabilities with housing density across the Southern Rocky Mountains. We used 3 scenarios to evaluate how housing growth and changes in burn probability influenced risk individually and combined (observed, 1990...


    map background search result map search result map Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release) Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release) Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024)