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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (23) ArcGIS REST Service (1) Types GeoTIFF (27) ArcGIS REST Map Service (1) Contacts Robert C Klinger U.S. Geological Survey - ScienceBase Mark Schwartz Matthew L Brooks Western Ecological Research Center More... Categories Map (1) Tag Types Theme (23) Place (14) Science Themes (13) Organization (13) Drought, Fire and Extreme Weather (12) Wildlife and Plants (12) Landscapes (10) More... Tag Schemes None (23) USGS Thesaurus (7) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (13) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (13) Common geographic areas (3) ISO 19115 Topic Category (10) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (12) More... View Results as: JSON ATOM CSV

Forest exposure (vulnerability) index, 2061-2080, based on MRI-CGCM3 RCP85 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MIROC-ESM-CHEM RCP85 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2061-2080, based on MRI-CGCM3 RCP45 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the MRI-CGCM3 GCM and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 - 10%; still very good); ... ; 95 (90 - 95%; within the historical distribution, but getting... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP45 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Meterological Research Institute's Coupled Atmosphere-Ocean General Circulation Model (MRI-CGCM3) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags Fire 1126 annual solar radiation grid 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 Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 This product used species distribution modeling (SDM) to model the geographic distribution fire promoting grasses across the islands of Hawaii under both current climate conditions and under future climate change scenarios (RCP 8.5 at year 2100). The RCP 8.5 scenario assumes unmitigated and continued release of greenhouse grasses and continued human population growth. Six species of well established and widely distributed grasses (Andropogon virginicus (broomsedge), Cenchrus ciliaris (buffelgrass), Cenchrus setaceus (fountain grass), Megathyrus maximus (guinea grass, Urochloa maxima, Pancicum maximum), Melinis minutiflora (mollasses grass), and Schizachyrium microstachyum (formerly referred to as S. condensatum... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Hawaii, Species distribution modeling, biota, climate change, fire, All tags... flammable plants, future climate, grass, Fewer tags Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bromus tectorum, California, Colorado, Desert, Ecology, All tags... Geography, Great Basin, Idaho, Land Use Change, Montana, Nevada, Oregon, Remote Sensing, Snake River Plain, USGS Science Data Catalog (SDC), Utah, Wyoming, annual grass, annual herbaceous, cheatgrass, fire, geoscientificInformation, habitat, invasive, ndvi, sagebrush, satellite, Fewer tags Sagebrush MW5k Percent Reclassed areas of just sagebrush (1) and no sagebrush (0, areas with originally no sagebrush or recently burned areas). Landfire codes were: 2080, 2125, 2126, 2220, 2064, 2072, 2079, 2124) This layer is an intermediate layer used to create a sagebrush landscape cover layer using a moving window analysis. See Landfire metadata for an assessment of that data. See WFDSS, GEOMAC and MTBS fire metadata for more information on those data Categories: Data; Types: ArcGIS REST Map Service, Downloadable, GeoTIFF, Map Service, Raster; Tags: Downloadable Data, Landfire, Landfire, SageDAT-data, biota, All tags... dataset, fire, sagebrush cover, Fewer tags Fire 1120 annual solar radiation grid 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 Reference period and projected environmental suitability scores-Oaks These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Predictive Model of Burn Severity (dNBR) in the Mojave Desert This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Grass-fire cycle, Mojave Desert, Mojave Desert, Predictive models, Random forests, All tags... biota, burn severity, dNBR, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fire regimes, fires, geographic information systems, heterogeneity, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, spatial models, vegetation, Fewer tags Fire 1146 annual solar radiation grid 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 Fire 1119 annual solar radiation grid 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 Baseline forest exposure (vulnerability) index, 1950-2000, southwestern United States Exposure (vulnerability) index for the baseline time period (1950-2000) representing historical conditions. The exposure model uses LANDFIRE vegetation data and Worldclim climate data . This raster represents the baseline exposure values from the Worldclim "Current" time period (1950-2000). There were four climate scenarios evaluated under the Southwest Climate Change Vulnerability project (MG - RCP 45; MG - RCP 85; MI - RCP 45; MI - RCP 85). Because the model is fit on the four scenarios independently, there are minor differences in the baseline exposure values. This raster simplifies the outputs by combining the four baseline exposure rasters, and can be used with any of the projected futures.The raster values... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 1950-2000, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP85 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Predictive Model of Probability of Ignition in the Mojave Desert This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Grass-fire cycle, Maxent, Mojave Desert, Mojave Desert, Predictive models, All tags... biota, burn severity, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fire regimes, fires, geographic information systems, heterogeneity, igntion probability, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, spatial models, vegetation, Fewer tags Species distribution model of the invasive annual forb Erodium cicutarium (red-stemmed filaree) in the Mojave Desert Geotiff raster of habitat suitability for the invasive annual forb Erodium cicutarium (red-stemmed filaree) across the Mojave Desert (NatureServe ecoregional boundary). Raster resolution = 30 m, projection = UTM Zone 11N Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Biological invasions, Bromus rubens, Bromus tectorum, Co-occurrence, Erodium cicutarium, All tags... Grass-fire cycle, Invasive species, Mojave Desert, Mojave Desert, Schismus spp, Species distribution models, biota, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fires, geographic information systems, habitat alteration, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, vegetation, Fewer tags Forest exposure (vulnerability) index, 2061-2080, based on MIROC-ESM-CHEM RCP85 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Change from Historical in Number of Days with High Fire Risk (Energy Release Component > 95th percentile), RCP8.5, 2050s The Energy Release Component (ERC) is a calculated output of the National Fire Danger Rating System (NFDRS). The ERC is a number related to the available energy (BTU) per unit area (square foot) within the flaming front at the head of a fire. The ERC is considered a composite fuel moisture index as it reflects the contribution of all live and dead fuels to potential fire intensity. As live fuels cure and dead fuels dry, the ERC will increase and can be described as a build-up index. The ERC has memory. Each daily calculation considers the past 7 days in calculating the new number. Daily variations of the ERC are relatively small as wind is not part of the calculation. The ERC is projected to the 2050s using three... Categories: Data, Map; Types: Downloadable, Map Service, Raster; Tags: Data Visualization & Tools, Idaho, Landscapes, Map Layer Package, NFRDS, All tags... Northwest CASC, Other Landscapes, Science Tools For Managers, Washington, fire, fuel moisture, humidity, weather data, wildfire, Fewer tags Reference period and projected environmental suitability scores-Mesquite These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags 1 2 »