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FY2017Removal of livestock grazing is a common prescription to promote ecosystem recovery after wildfire (and subsequent emergency site rehabilitation efforts). Ecosystem recovery is typically considered from a terrestrial perspective, but wildfire and grazing can strongly influence aquatic ecosystems as well, especially smaller and fragmented stream networks, which are prevalent in the Great Basin (Minshall et al. 1989[1]; Dunham et al. 2003[2]; Luce et al. 2012[3]). Understanding these influences is essential for managing fire and grazing. Examples include identifying timeframes for resuming livestock grazing following wildfire, and the interactions between livestock grazing, fuels, and recovery of stream-side...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Data Acquisition and Development, Federal resource managers, Generalized Random Tesselation Stratified, Generalized Random Tesselation Stratified, Generalized Random Tesselation Stratified, All tags...
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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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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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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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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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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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The various post-fire data products available on the Burn Severity Portal are produced using satellite imagery. The timing of the satellite imagery used, relative to the fire event, typically depends on the vegetation type and structure where the fire occurred. Each mapping program produces a suite of data products based on user intended user needs. For more information about each of the programs, please refer to each area individually. Requests are made for 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...
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Burn probability (BP) for Fireline Intensity Class 3 (FIL3) with flame lengths in the range of 1.2-1.8 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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Burn probability (BP) for Fireline Intensity Class 1 (FIL1) with flame lengths in the range of 0-0.6 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5...
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Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
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This is a dataset of location and photo data for the debris flow deposits measured in the Tadpole Wildfire. The data were collected using the ArcGIS Collector application by multiple individuals. The original data are stored in a geodatabase here, and the geodatabase has the following fields: Latitude (decimal degrees), Longitude (decimal degrees), Elevation (meters), GlobalID (a unique ID), CreationDate, Creator, EditDate, Editor, and Notes. Each point in the geodatabase represents an observation (either a debris flow deposit or a wood measurement), and most points also include associated photos of the deposit/wood. An opensource version of the geodatabase is provided as a shapefile, containing the same fields...
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Wildfires are one of the greatest threats to human infrastructure and the ecosystem services humans value in the western US, but are also necessary in fire-adapted ecosystems. Wildfire activity is widely projected to increase in response to climate change in the Northwest, but we currently lack a comprehensive understanding of what this increase will look like or what its impacts will be on a variety of ecological and hydrologic systems. This project addressed one critical part of those impacts: the islands of unburned vegetation within wildfires. Unburned islands occur naturally as wildfires burn across landscapes, and are important habitat refuges for species -- places where plants and animals survive the fire...
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Indices of habitat suitability and animal abundance provide useful proxy-based measures adaptive management (Coates et al. 2015a). Doherty et al. (in review) derived a range-wide population index model for sage-grouse using such indices that incorporated sage-grouse habitat suitability generated from Random Forest models (Evans et al. 2011), and spatially explicit abundance measures based on fixed kernel density functions informed by distributions of lek locations (lek locations defined by Western Association of Fish and Wildlife Agencies, see Coates et al. 2015b). The kernels were generated using two bandwidth distances representing the majority of breeding habitat in relation to leks (6.4 km) and seasonal movements...
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A raster identifying previously burned areas as being 1) recovered (to sagebrush-dominant ecosystem), 2) recovering, or 3) transitioned to annual grass-dominated.
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The Monitoring Trends in Burn Severity (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 scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...
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Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 m predicted for the 2020-2040 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5...
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Fire type predicted for the 2050-2070 period in the Rio Grande area with five classes: 1) shrub vegetation with torching flames; 2) shrub vegetation without torching flames; 3) forest with torching flames; 4) forest without torching flames; 5) grass or non-vegetation. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model...
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This map shows current, near-term, and long-term estimates of fire occurrence potential due to human and natural causes. These estimates were developed using a Maxent model of 30 years of human and natural fire occurrences predicted against a variety of surfaces including elevation, lightning density, distance to roads and urban areas, vegetation type, and climate. The only factors that were varied to create the near and long-term estimates were climate.


map background search result map search result map Disappearing Refugia: Identifying Trends and Resilience in Unburned Islands under Climate Change Colorado Plateau REA MQ E2: Where are the areas with potential to change from wildfire? Burn Probability for Fireline Intensity Class 1, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 3, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2020 to 2040 for Rio Grande study area Fire type predicted for 2050 to 2070 for Rio Grande study area Great Basin Sage-Grouse Concentration Areas Wildfire, grazing and availability of water in sage steppe ecosystems State Transition Model of Cumulative Burned Area to Annual Grass in the Great Basin Region of the Western U.S. Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 7.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1993 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1989 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1987 (ver. 6.0, January 2024) Monitoring Trends in Burn Severity and Burn Severity Portal – a clearing house of fire severity and extent information Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2023 (ver. 6.0, January 2024) Tadpole Fire Debris Flow and Wood Collector Measurements May 2021 Wildfire, grazing and availability of water in sage steppe ecosystems Burn Probability for Fireline Intensity Class 1, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 3, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2020 to 2040 for Rio Grande study area Fire type predicted for 2050 to 2070 for Rio Grande study area Colorado Plateau REA MQ E2: Where are the areas with potential to change from wildfire? Great Basin Sage-Grouse Concentration Areas Disappearing Refugia: Identifying Trends and Resilience in Unburned Islands under Climate Change State Transition Model of Cumulative Burned Area to Annual Grass in the Great Basin Region of the Western U.S. Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 7.0, January 2024) Monitoring Trends in Burn Severity and Burn Severity Portal – a clearing house of fire severity and extent information National Park Service Thematic Burn Severity Mosaic in 1993 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1989 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 2023 (ver. 6.0, January 2024) National Park Service Thematic Burn Severity Mosaic in 1987 (ver. 6.0, January 2024)