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The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic...
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This product is published on a provisional basis to provide necessary information to individuals assessing burn severity impacts on a time sensitive basis. This product was produced using the methods of the Monitoring Trends in Burn Severity (MTBS) Program, however this fire may not meet the criteria for an MTBS initial assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after...
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The RAVG (Rapid Assessment of Vegetation Condition after Wildfire) program provides assessments of vegetation conditions following large fires on forested lands. Fire effects are represented by three metrics: percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized Composite Burn Index (CBI). These data are derived from moderate resolution multi-spectral imagery (e.g., Landsat 8 Operational Land Imager or Sentinel-2 Multispectral Instrument). The Relative Differenced Normalized Burn Ratio (RdNBR), which is correlated to the variation of burn severity within a fire, is calculated from a pair of images (pre- and postfire), judiciously selected to capture fire effects. The three-severity...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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In California, increased wildfire activity has been linked to decreasing snowpack and earlier snowmelt. Not only has this translated into a longer fire season, but reduced snowpack has cascading effects that impact streamflow, water supplies, agricultural productivity, and ecosystems. California receives 80% of its precipitation during the winter, so mountain snowpack plays a critical role in replenishing the state’s water supply. One factor that affects the amount of winter precipitation (and therefore snowpack) in California is the North Pacific Jet (NPJ)—a current of strong, high altitude winds that occur over the northern Pacific Ocean. Winters when the NPJ is located further north than normal are drier than...
Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Report; Tags: 2013, CA, CA-wide, CASC, Completed, All tags...
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The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizations of fire risk. Some of the assessments may be useful for communicating contributions toward risk reduction of treatments funded by DOI, including investments under BIL. For each assessment, the inventory provides a description and information about the spatial extent, resolution, fire modeling approach, values considered...
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This data release contains gridded estimates of postfire debris flow probability and magnitude for six different rainfall and wildfire scenarios in southern California. The scenarios represent the present and possible future precipitation and fire regimes for the region. The results are provided for 1 km2 cells across the study area. The data release accompanies the journal article Kean, J.W. and Staley, D.M. (2021). Forecasting the frequency and magnitude of postfire debris flow across southern California, Earth's Future, 2020EF001735.
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This data release includes time-series data from two monitoring stations in a small drainage basin burned in the 2014 Silverado Fire, Orange County, California. One station (upper station) is located in the headwaters of the study area (33 45’39.10”N, 117 35’17.48”W, WGS84). The other station (lower station) is located at the outlet of the study area (33 45’04.61”N, 117 35’12.54”W). The data were collected between November 15, 2014 and January 14, 2016. The data include continuous 1-minute time series of rainfall and soil water content recorded at the both stations and intermittent (during rain storms) 50-Hz time series of flow-induced ground vibrations recorded by geophones at the lower station. The soil water...
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This data release contains data summarizing observations within and adjacent to the Tadpole Fire, which burned from 6 June to 4 July 2020 in the Gila National Forest, NM. This monitoring data were focused on debris flows triggered on 8 September 2020 in four drainage basins (TAD1, TAD2, TAD3, and TAD4). Rainfall data (1a_rain_geophones.csv) are provided in a comma-separated value (CSV) file. The columns in the csv file are: Index, GaugeID (name of rain gauge), StormID (the storm number starting at the first record, where a new storm is defined by 8 hours with no rainfall), TimeStamp (local time), Bin Accum (mm) (The total accumulated rainfall between timesteps in units of millimeters), TotalAccum (mm) (the cumulative...
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This data release presents measurements and derived parameters for attributes of bulk density, loss on ignition, soil-water retention, and hydraulic conductivity for a site (Richardson) near Hess Creek in interior Alaska, USA. These measurements are useful for hydrologic modeling and predictions of water availability in this region.
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This dataset depicts high, moderate, and low zones representing the severity of damage to the soil caused by a wildfire. Dates of fires mapped for severity in this layer range from 1999 to 2006. Burn severity zones define areas where significant increases in erosion and sedimentation are likely and could result in destructive flooding or loss of soil productivity. They also propose treatments, which are designed to mitigate soil movement, calculate the cost of those treatments, and request the approval of those expenditures.
This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China in 1987, and simulation results that underlie figures and analysis in the accompanying publication. The data release includes the fire perimeter of Great Dragon Fire; input data for LINKAGES including soils, landtype, and climate data; initial conditions of stands in the study area before the Great Dragon Fire; and maps of LANDIS PRO output for each model grid cell including total trees, total biomass (Mg/ha), and tree density (trees/ha) in two-year timesteps.
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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 prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This...
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This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
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GeoMAC (Geospatial Multi-Agency Coordination) interactive map viewer. The Geospatial Multi-Agency Coordination or GeoMAC, is an internet-based mapping application originally designed for fire managers to access online maps of current fire locations and perimeters in the United States. Using a standard web browser, fire personnel can view this information to pinpoint the affected areas. With the growing concern of western wildland fires in the summer of 2000, this application also became available to the public.


map background search result map search result map The Influence of the North Pacific Jet Stream on Future Fire in California California (USA) Wildfire Damage to Soil Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016 van Genuchten parameters near Hess Creek in interior Alaska GeoMAC Map Viewer BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Inter-Mountains Basins Subalpine Limber Bristlecone Pine Woodland BLM REA CBR 2010 mtbs perims Clip CBRMBR Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling Gridded estimates of postfire debris flow frequency and magnitude for southern California National Park Service Thematic Burn Severity Mosaic in 2020 (ver. 6.0, January 2024) Provisional Initial Assessment Thematic Burn Severity Mosaic for 2022 (ver. 5.0, October 2023) Tadpole Fire Field Measurements following the 8 September 2020 Debris Flow, Gila National Forest, NM The Wildfire Hazard and Risk Assessment Inventory Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic in 2023 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1987 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1994 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1996 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1999 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2008 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2010 (ver. 6.0, January 2024) van Genuchten parameters near Hess Creek in interior Alaska Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016 Tadpole Fire Field Measurements following the 8 September 2020 Debris Flow, Gila National Forest, NM Gridded estimates of postfire debris flow frequency and magnitude for southern California Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling BLM REA CBR 2010 mtbs perims Clip CBRMBR California (USA) Wildfire Damage to Soil The Influence of the North Pacific Jet Stream on Future Fire in California BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Inter-Mountains Basins Subalpine Limber Bristlecone Pine Woodland US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1987 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2010 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1999 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1994 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 2008 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1996 (ver. 6.0, January 2024) GeoMAC Map Viewer Provisional Initial Assessment Thematic Burn Severity Mosaic for 2022 (ver. 5.0, October 2023) Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Thematic Burn Severity Mosaic in 2023 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2020 (ver. 6.0, January 2024) The Wildfire Hazard and Risk Assessment Inventory