Skip to main content
Advanced Search

Filters: Tags: Fire (X) > Types: Downloadable (X)

643 results (58ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
To assess fire frequency and extent, the perimeters of fires overlapping the distribution of pygmy rabbit. Fire occurrences since 1980 were compiled from fire occurrence data sets from U.S. Forest Service, U.S. Geological Survey (GeoMAC), National Park Service, Monitoring Trends in Burn Severity, Western Fires Database, Bureau of Land Management, and National Fire and Aviation Management Web applications.
thumbnail
Geospatial data sets for the Wyoming Basin REA spatially quantify explicit cumulative effects and provide a broad-scale ecological context for decision-making and planning that cannot be determined using local-level information.
thumbnail
This shapefile includes projections of annual area burned, fire return interval, and percent forest (current decade only) for the current (2010s), near-term (2020s) and long-term (2050s and 2060s) decades, for the A2 emissions scenario, for 3rd level HUCs within the YKL REA study area. Values were obtained by running 100 repetitions of the Alaska Frame-Based Ecosystem Code (ALFRESCO) model for the top five performing global climate models in the Arctic at a 1x1 km resolution. These outputs were then averaged together to determine the composite, 5 model average, the decades of interest extracted, and the resulting table exported as a shapefile. For background on ALFRESCO, please refer to: Is Alaska's Boreal Forest...
thumbnail
This dataset shows an estimate of the probability of human-caused fire occurrence, based on 30 years of occurrence data using a MaxEnt model based on several factors including distance to roads, urban areas, vegetation type, and climate. This near-term estimate is based on projecting the Maxent model developed on current climate conditions onto downscaled climate projections from RegCM3 based on ECHAM5 boundary conditions. The model performed reasonably well, with an AUC of 0.704 Significant predictive factors include distance to highways, distance to major rivers, distance to urban areas, distance to roads, and winter precipitation. Caution should be exercised in interpreting this dataset, as it is based on an...
thumbnail
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...
thumbnail
This dataset presents current and future change agent models and combined future potential for change (PFC) within big game seasonal ranges.The big game seasonal ranges extent was determined by aggregating datasets on seasonal ranges of several big game species (Elk, Mule Deer, Pronghorn, and Bighorn Sheep). Seasonal ranges include winter, crucial winter, crucial summer, and parturition areas. Data were obtained from state natural resource agencies (Colorado Parks and Wildlife) and the BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents...
thumbnail
This dataset presents current and future change agent models and combined future potential for change (PFC) within the basin grassland and shrubland system Conservation Element.The basin grassland and shrubland system extent was determined by querying the LANDFIRE existing vegetation dataset for basin grassland and shrubland and clipping the data to the ecoregion boundary.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures...
thumbnail
This table contains information about the amount of each threat analysis attribute, indicator and metric quantified for the 6th level Hydrological Unit (HUC12). These attributes were calculated for the entire HUC 12, the streams within the HUC 12, or the riparian corridor within the HUC 12. The attributes were calculated using ArcMap Tools.
thumbnail
The consolidated dataset represents polygonal fire perimeters of known fire occurrences between pre-1950 and 2010 within the state of Wyoming. Where it was included or possible to determine, information about fire types, causes, names, and dates has been retained. The following sources were used to consolidate all known and mapped fire occurrences: the USGS GeoMAC program, the National Park Service (Yellowstone National Park), the Monitoring Trends in Burn Severity (MTBS) program, the US Forest Service, the Bureau of Land Management, the Western Fires US database, and the National Fire and Aviation Management Web Applications (FAMWEB) program.
thumbnail
This dataset shows the combination of high probability areas from two Maxent models that predict human and naturally-caused fire occurrence. This long-term estimate is based on projecting the Maxent model developed on current climate conditions onto downscaled climate projections from RegCM3 based on ECHAM5 boundary conditions. Caution should be exercised in interpreting this dataset, as it is based on an association between landscape factors and the locations of fire occurrences. This dataset does not provide information about the likely outcome of a fire. See the human and naturally-caused fire occurrence datasets for more information and limitations.
thumbnail
The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current wildland fire locations and perimeters in the continental United States, including Alaska. Perimeters are submitted to GeoMAC by the incidents via posting to FTP and web sites for downloading. This file contains wildland fire perimeters submitted to GeoMAC from the year 2000 to the calendar year preceeding the current one. The projection is geographic and the datum is NAD83. Last updated January 20, 2011, SPW. Additional metadata available at: http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/us_hist_fire_perimeters_dd83_METADATA.htm
thumbnail
This dataset contains reclassified Landfire Mean Fire Return Interval (MFRI) data for the middle rockies ecoregion. Categorical values were assigned based on years until mean fire return according to key ecological attributes table.
thumbnail
This dataset presents current and future change agent models and combined future potential for change (PFC) within northern goshawk potentially suitable habitat.The northern goshawk potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Models for the northern goshawk clipped to the study area for the SLV-TP Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of...
thumbnail
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large 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 2011. 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...
thumbnail
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large 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 2011. 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...
thumbnail
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large 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 2011. 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...
thumbnail
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large 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 2011. 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...
thumbnail
This dataset shows areas of increased or decreased potential for human or naturally-caused fires between Maxent projections based on near-term climate and current climate.
thumbnail
This dataset shows areas burned by wildfire between 1999 and 2010 derived from fire perimeter and LANDFIRE disturbance datasets (Prescribed fires were not included in this analysis.). Where available, this dataset shows fire severity information.
thumbnail
The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current wildland fire locations and perimeters in the continental United States, including Alaska. Perimeters are submitted to GeoMAC by the incidents via posting to FTP and web sites for downloading. This file contains wildland fire perimeters submitted to GeoMAC from the year 2000 to the calendar year preceeding the current one. The projection is geographic and the datum is NAD83. Last updated January 20, 2011, SPW. Additional metadata available at: http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/us_hist_fire_perimeters_dd83_METADATA.htm


map background search result map search result map BLM REA MIR 2011 Lynx Rating based on mean fire return interval for Middle Rockies Ecoregion BLM REA MIR 2011 AG C Cold Water Fish Threats Future Wildfire BLM REA COP 2010 Wildland Fire Perimeters (2009) BLM REA SOD 2010 Wildland Fire Perimeters (2002) BLM REA SOD 2010 Areas Burned by Wildfire (1999-2010) BLM REA SOD 2010 Long-Term High Potential of Human and Naturally-Caused Fire Occurrence BLM REA SOD 2010 Near-Term Probability of Human-Caused Fire Occurrence BLM REA SOD 2010 Change in Potential Fire Occurrence (Near-Term vs Current) BLM REA WYB 2011 Consolidated Fire Data Wyoming (Pre 1950 to 2010) BLM REA WYB 2011 WFDSS Interagency Historic FirePerimeters 20120608 v1 BLM REA WYB 2011 Pygmy Rabbit Fire BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2010) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (1999) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2005) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2004) BLM REA SLV 2013 NorthernGoshawk PFC 1km Poly Near Term Fire BLM REA SLV 2013 Basin Grassland Shrubland PFC 1km Poly Near Term Fire BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Fire BLM REA YKL 2011 FI CNL PercentBurn Near BLM REA CBR 2010 mtbs perims Clip CBR BLM REA SLV 2013 Basin Grassland Shrubland PFC 1km Poly Near Term Fire BLM REA SLV 2013 NorthernGoshawk PFC 1km Poly Near Term Fire BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Fire BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2010) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (1999) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2005) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2004) BLM REA COP 2010 Wildland Fire Perimeters (2009) BLM REA SOD 2010 Wildland Fire Perimeters (2002) BLM REA WYB 2011 Pygmy Rabbit Fire BLM REA WYB 2011 Consolidated Fire Data Wyoming (Pre 1950 to 2010) BLM REA SOD 2010 Areas Burned by Wildfire (1999-2010) BLM REA SOD 2010 Long-Term High Potential of Human and Naturally-Caused Fire Occurrence BLM REA SOD 2010 Near-Term Probability of Human-Caused Fire Occurrence BLM REA SOD 2010 Change in Potential Fire Occurrence (Near-Term vs Current) BLM REA MIR 2011 AG C Cold Water Fish Threats Future Wildfire BLM REA CBR 2010 mtbs perims Clip CBR BLM REA YKL 2011 FI CNL PercentBurn Near BLM REA MIR 2011 Lynx Rating based on mean fire return interval for Middle Rockies Ecoregion BLM REA WYB 2011 WFDSS Interagency Historic FirePerimeters 20120608 v1