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Found 105 dataset(s) matching "open burning".
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This dataset comprises repeat surveys of field-saturated hydraulic conductivity and sorptivity following the October 2017 Nuns and Tubbs wildfires as part of an effort to document soil-hydraulic...
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National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by...
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a...
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This data set provides the results of controlled burns conducted to assess the flammability of mature forests on the Catuaba Experimental Farm of the Federal University of Acre - Rio Branco, Acre,...
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The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and...
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The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and...
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The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and...
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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...
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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...
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<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
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<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
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<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
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<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
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<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
