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National Park Service Thematic Burn Severity Mosaic in 2006 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 1995 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 1996 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2013 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2018 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2023 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BAER, Burn severity, Burned Area Emergency Response, Burned area, Differenced normalized burn ratio, All tags... Fire location, Landsat, Location, Normalized burn ratio, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Improving Characterizations of Future Wildfire Risk in Alaska In Alaska, recent research has identified particular areas of the state where both a lack of soil moisture and warming temperatures increase the likelihood of wildfire. While this is an important finding, this previous research did not take into account the important role that melting snow, ice, and frozen ground (permafrost) play in replenshing soil moisture in the spring and summer months. This project will address this gap in the characterization of fire risk using the newly developed monthly water balance model (MWBM). The MWBM takes into account rain, snow, snowmelt, glacier ice melt, and the permafrost layer to better calculate soil moisture replenishment and the amount of moisture that is lost to the atmosphere... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, Alaska, Alaska, Alaska CASC, CASC, All tags... Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Fire, Fire, Glaciers and Permafrost, Glaciers and Permafrost, Other Water, Projects by Region, Water, Coasts and Ice, Water, Coasts and Ice, climate, evapotranspiration, hydrologic model, water budget, wildfire, Fewer tags Burn Probability predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area 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 Representative Concentration Pathway. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 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 8.5... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 2 (FIL2) with flame lengths in the range of 0.6-1.2 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... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 5 (FIL5) with flame lengths in the range of 2.4-3.7 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... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 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... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 Wildfire and fuel treatment locations for the USFWS Pacific Southwest Region (California, Nevada, Klamath Basin OR) extracted from the Fire Management Information System (FMIS) on October 23, 2015, for fiscal years 1980-2015. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: California, Inventory and Monitoring, Natural Resources, Nevada, Oregon, All tags... USFWS, Wildlife Refuge, environment, environment, fuel, treatment, wildfire, Fewer tags Post-wildfire debris-flow monitoring data, Arroyo Seco, 2009 Station Fire, Los Angeles County, California, November 2009 to March 2010. This data release includes time-series data from a monitoring site located in a small drainage basin in the Arroyo Seco watershed in Los Angeles County, CA, USA (N3788964 E389956, UTM Zone 11, NAD83). The site was established after the 2009 Station Fire and recorded a series debris flows in the first winter after the fire. The data include three types of time-series: (1) 1-minute time series of rainfall, soil water content, channel bed pore pressure and temperature, and flow stage recorded by radar and laser distance meters (ArroyoSecoContinuous.csv); (2) 10-Hz time series of flow stage recorded by the laser distance meter during rain storms (ArroyoSecoStormLaser.csv), and (3) 2-second time series of rainfall and... Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arroyo Seco, California, GHSC, Geologic Hazards Science Center, Landslides Hazards Program, Los Angeles County, California, All tags... USGS, USGS Science Data Catalog (SDC), debris flow, drainage basin, earth science, fire, geophysics, heterogeneous infiltration capacity, infiltration capacity, landslide, landslide hazard, rainfall, seismology, soil water content, wildfire, Fewer tags Combined wildland fire datasets for the United States and certain territories, 1800s-Present (summary rasters) First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Fire, North America, Prescribed Burn, Prescribed Fire, Raster, All tags... United States, United States, Wildfire, Wildland Fire, burned area, environment, fire, fires, first year burned, geospatial datasets, most recent year burned, number of times burned, prescribed fire, raster, wildfire, Fewer tags Fire probability for 1900-1929 using GFDL baseline climate values Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. This dataset presents projections of historic and future fire probability for the southcentral U.S. using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM, Guyette et al., 2012). Climate data from 1900-1929 and projected climate data for 2040-2069 and 2070-2099 were used as model inputs to the Physical Chemistry Fire Frequency Model (Guyette et al. 2012) to estimate fire probability. Baseline and future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. The nine associated data sets (tiffs) represent estimated change in mean fire probability... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: New Mexico, Oklahoma, Texas, climate change, mean fire interval, All tags... wildfire, wildfire frequency, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2003 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Undersized Fire Mapping Program (ver. 5.0, October 2023) This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2021 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2021 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BAER, Burn severity, Burned Area Emergency Response, Burned area, Differenced normalized burn ratio, All tags... Fire location, Landsat, Location, Normalized burn ratio, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 1998 (ver. 6.0, January 2024) 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags 1 2 3 4 5 ... 8 »