Found 44 datasets matching "wildland fire potential".
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Raw FASTQ data representing wildland fire smoke plume microbiome. This dataset is associated with the following publication: Kobziar, L., D. Vuono, R. Moore, B. Christner, T. Dean, D....
Search relevance: 171.75 | Views last month: 1 -
Note: This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a...
Search relevance: 88.65 | Views last month: 8 -
Note: This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a...
Search relevance: 88.65 | Views last month: 3 -
Note: This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a...
Search relevance: 74.16 | Views last month: 0 -
Note: This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a...
Search relevance: 73.22 | Views last month: 5 -
The 2018 Wildland Hazard Potential (WHP) represents areas of uncharacteristic fuel buildup. The WFP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel,...
Search relevance: 69.69 | Views last month: 0 -
The 2023 Wildland Hazard Potential (WHP) represents areas of significant fuel buildup. The WHP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel, and...
Search relevance: 67.78 | Views last month: 0 -
The 2018 Wildland Hazard Potential (WHP) represents areas of uncharacteristic fuel buildup. The WFP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel,...
Search relevance: 65.47 | Views last month: 0 -
The 2023 Wildland Hazard Potential (WHP) represents areas of significant fuel buildup. The WHP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel, and...
Search relevance: 63.10 | Views last month: 1 -
Managing and adapting to changing wildland fire regimes due to human-caused global warming can be facilitated through the use of analog mapping of potential climate-influenced outcomes. This...
Search relevance: 60.57 | Views last month: 0 -
The Potential Operational Delineations (PODs) process is a framework for cross-boundary, collaborative, and integrative fire planning that can support place-based implementation of the National...
Search relevance: 59.60 | Views last month: 1 -
The California desert occupies the southeastern 27% of California (11,028,300 ha, 110,283 km2 or 27,251,610 ac). It includes two ecoregional provinces comprised of five desert regions (“ecological...
Search relevance: 58.46 | Views last month: 0 -
This dataset is the 2023 version of wildfire hazard potential (WHP) for the United States. The files included in this data publication represent an update to any previous versions of WHP or...
Search relevance: 51.76 | Views last month: 0 -
This dataset is the 2023 version of wildfire hazard potential (WHP) for the United States. The files included in this data publication represent an update to any previous versions of WHP or...
Search relevance: 51.68 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 48.32 | Views last month: 0 -
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...
Search relevance: 48.20 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 48.06 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 47.94 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 47.94 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 47.94 | Views last month: 0