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Shapefile of a set of fires sampled from the GNLCC Large Fire Database, 1984-2011. This sampled was collected from across the total variability in climate within the Great Northern Landscape Conservation Cooperative (GNLCC) study area. Additional detail about the topography, climate, and burn severity was collected for this identified sample, and used to model fire refugia and low-severity burn probability within the fire perimeters.Each fire has a unique numeric identifier of “PolyID”. Additional attributes are as follows:FIRE_ID: For those fires with an ID, the ID assigned by the reporting agency of the MTBS project.FIRENAME: Names of those fires which are named. This is uncommon in Canada.YEAR: The year the fire...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Conservation NGOs,
Data,
Disturbance,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
Idaho communities at risk from wildfire, as listed in the Federal Register (August 17,2001). Assist land managers in prioritizing areas that would benefit from hazardous fuels reduction and community assistance programs. Listing is intended to focus management on priority areas, but does not determine whether a particular community receives funding. This dataset was used in the "Idaho Interagency Assessment of Wildland Fire Risk to Communities, 2006" to derive Communities At Risk From Wildland Fire of Idaho - Map 6B. It has also been used in other BLM planning efforts such as Resource Management Plans, Fire Management Plans, and NEPA analysis.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Communities at Risk,
Community,
Fire,
Idaho,
Idaho State Fire Plan,
In response to the 2010 Fourmile Canyon fire near Boulder, Colorado, the U.S. Geological Survey collected data to support investigations into the magnitude and critical drivers of water-quality impairment after wildfire. We analyzed chemistry of stream water, sediment, wildfire ash, soil, dust, and mine waste for metals and other parameters in order to evaluate the effects of legacy mining and wildfire on stream chemistry in the Colorado Front Range, USA. This data release includes data that were published earlier (McCleskey et al., 2012; Murphy et al., 2018).
Categories: Data;
Tags: Environmental Health,
Forestry,
Fourmile Creek, Boulder Colorado,
Hydrology,
Land Use Change,
This Data Release summarizes measurements of hydraulic and physical properties of soils and ash at sites in the area impacted by the 2017 Thomas Fire, USA. Physical properties include dry bulk density, loss on ignition, and saturated soil water content. Hydraulic properties include field-saturated hydraulic conductivity, sorptivity, Green-Ampt wetting front potential, and soil water retention. These measurements provide a foundation to reduce uncertainty of parameters in hydrologic models used to predict water-related hazards, water quality, and water quantity. Note that all methods of data acquisition and processing, column headings, and data annotations are explained in the metadata files.
Categories: Data;
Tags: California,
Santa Barbara County,
Thomas Fire,
Ventura County,
hydraulic properties,
In this study, organic petrology and Osmium isotope (187Os/188Os) stratigraphy, major and trace element, and programmed pyrolysis analysis were performed on five outcrop samples from western New York, USA. Seawater Os isotope composition is controlled by radiogenic input from weathering of the ancient land and nonradiogenic input from extraterrestrial and hydrothermal sources (Peucker-Ehrenbrink and Ravizza, 2000). Os is complexed by the organic matter present at the time of deposition without isotope fractionation. Seawater Os isotope composition is reconstructed by analysing the Os isotope composition of the organic-rich sedimentary rock (Turgeon et al., 2007). The short residence time of Os (10 – 50 kyrs) in...
Categories: Data;
Tags: Cattaraugus County,
Chautauqua County,
Energy Resources,
Erie County,
Frasnian-Famennian mass extinction,
Reference evapotranspiration (ET0), like potential evapotranspiration, is a measure of atmospheric evaporative demand. It was used in the context of this study to evaluate drought conditions that can lead to wildfire activity in Alaska using the Evaporative Demand Drought Index (EDDI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The ET0 data are on a 20km grid with daily temporal resolution and were computed using the meteorological inputs from the dynamically downscaled ERA-Interim reanalysis and two global climate model projections (CCSM4 and GFDL-CM3). The model projections are from CMIP5 and use the RCP8.5 scenario. The dynamically downscaled data are available at https://registry.opendata.aws/wrf-alaska-snap/....
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Alaska,
climatologyMeteorologyAtmosphere,
dataset,
drought,
reference evapotranspiration,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fire,
GNLCC,
Solar Radiation,
Wildfire
FY2011Increasingly large wildfires in the Great Basin and Columbia Plateau have led to large dust storms in areas historically without them. Large dust storms have adversely affected human health, energy production operations, soil fertility, and mountain snowpack hydrology. USGS research efforts have investigated the causes and consequences of post-fire dust storms. Publications from this work are being used by managers with the Bureau of Land Management, Department of Energy, and other land managers to develop management practices that will minimize dust production.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Aeolian transport,
Data Acquisition and Development,
Federal resource managers,
Great Basin,
Burn probability (BP) raster dataset predicted for the 2050-2070 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,
Fire Intensity raster dataset predicted for the 2050-2070 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: fire,
fire intensity,
future climate,
gis,
rio grande,
Federal wildfire managers often want to know, over large landscapes, where wildfires are likely to occur and how intense they may be. To meet this need we developed a map that we call wildfire hazard potential (WHP) – a raster geospatial product that can help to inform evaluations of wildfire risk or prioritization of fuels management needs across very large spatial scales (millions of acres). Our specific objective with the WHP map was to depict the relative potential for wildfire that would be difficult for suppression resources to contain. To create the 2014 version, we built upon spatial estimates of wildfire likelihood and intensity generated in 2014 with the Large Fire Simulation system (FSim) for the national...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: fire,
hazard,
potential,
wildfire,
wildland fire
Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: burn probability,
fire,
fireline intensity,
future climate,
gis,
Spatial data used in the study "Characterization and Evaluation of Controls on Post-Fire Streamflow Response Across Western U.S. Watersheds".
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.
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had > 0.010...
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,
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,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fire,
GNLCC,
Solar Radiation,
Wildfire
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fire,
GNLCC,
Solar Radiation,
Wildfire
The dataset contains spectral indices values calculated from Landsat imagery, normalized difference vegetation index (NDVI) and delta normalized burn ratio (NBR, deltaNBR). The spectral indices were computed for 1472 forested sites in the Glacier National Park, Montana, over the 1984-2021 period, in areas that were burned or not burned during the Robert Fire of 2003.
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