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Canopy Base Height LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy base height (CBH) describes the lowest point in a stand where there is sufficient available fuel (= .25 in dia.) to propagate fire vertically through the canopy. Specifically, CBH is defined as the lowest... Categories: Data; Types: Downloadable; Tags: Canopy Base Height, Federal Government, GIS, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Fire Behavior Fuel Model 40 LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: These fire behavior fuel models represent distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes and fuel types. The fuel models are described by the most... Categories: Data; Types: Downloadable; Tags: 40, Federal Government, Fire Behavior Fuel Model, Fuel Map, GIS, All tags... LANDFIRE, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Fire Behavior Fuel Model 13 LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Thirteen typical surface fuel arrangements or "collections of fuel properties" (Anderson 1982) were described to serve as input for Rothermel's mathematical surface fire behavior and spread model (Rothermel... Categories: Data; Types: Downloadable; Tags: 13, Federal Government, Fire Behavior Fuel Model, Fuel Map, GIS, All tags... LANDFIRE, Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Existing Vegetation LANDFIRE for Wyoming at 1:24,000 The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group... Categories: Data; Types: Downloadable; Tags: EVT, Existing Vegetation Type, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Existing Vegetation Cover LANDFIRE for Wyoming at 1:24,000 The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation cover (EVC) data layer is an important input to LANDFIRE modeling efforts. EVC is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Percentage tree canopy cover training data are generated using digital... Categories: Data; Types: Downloadable; Tags: EVC, Existing Vegetation Cover, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, Fewer tags Canopy Height LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy height describes the average height of the top of the canopy for a stand. A spatially-explicit map of canopy height supplies information for fire behavior models such as FARSITE (Finney 1998) to determine... Categories: Data; Types: Downloadable; Tags: CH, Canopy Height, Federal Government, GIS, LANDFIRE, All tags... Raster digital data, Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Canopy Bulk Density LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy bulk density (CBD) is defined as the mass of available canopy fuel per unit canopy volume (Scott and Reinhardt 2001). A spatially explicit map of canopy bulk density supplies information used in fire... Categories: Data; Types: Downloadable; Tags: Canopy Bulk Density, Federal Government, GIS, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags Estimated habitat suitability for the American burying beetle using land cover classes in the Southern Plains (ver. 1.1, June 2020) Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within the Southern Plains. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suitable habitat using LANDFIRE Existing Vegetation Types (EVT). The habitat model ranked each EVT using one of four categories: (1) favorable; suitable vegetation to support all or critical portions of the ABB life cycle, (2) conditional; favorable only under certain conditions including seasonality of flooding and land management... Categories: Data, Data Release - Revised; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: American burying beetle, Arkansas, Kansas, LANDFIRE, Missouri, All tags... Nicrophorus americanus, Oklahoma, Southern Plains, Texas, USGS Science Data Catalog (SDC), United States, biota, endangered species, entomology, habitat suitability, habitats, insects, surface disturbance, vegetation, vegetation classification, wildlife biology, Fewer tags Land use change and fragmentation of Theodore Roosevelt Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fragmentation, Grasslands and Plains, Greater Wildland Ecosystem, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags GCPO Grassland existing vegetation type from LANDFIRE This layer was created by selecting classes relevant to conservation of the grassland-prairie-savanna broadly defined habitat from the LANDFIRE Existing Vegetation Type (evt) spatial data product clipped to the boundary of the GCPO LCC. The layer was generated as in input layer for the Draft Grassland Condition Index raster data layer in support of the GCPO LCC rapid ecological assessment of the Grassland-Prairie-Savanna Priority Habitat. In selecting vegetation types, “grasslands” were defined as any landscape dominated by grass, excluding classes considered to be features of other priority habitats, such as marshes, dunes, glades, woodlands, and pine savanna. The 44 selected grassland classes included pasture/hay... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Conservation planning, Data, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > GRASSLANDS, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER, EARTH SCIENCE > LAND SURFACE > LANDSCAPE > LANDSCAPE ECOLOGY, All tags... EARTH SCIENCE > LAND SURFACE > LANDSCAPE > RECLAMATION/REVEGETATION/RESTORATION, Ecological Assessment, Ecological Systems, GCPO LCC, Grassland, Informing Conservation Delivery, LANDFIRE, LCC Network Science Catalog, Population and Habitat Evaluation/Projection, Prairie, Savanna, biota, completed, environment, planningCadastre, Fewer tags LANDFIRE Existing Vegetation Cover for the Great Plains Landscape Conservation Cooperative The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, EVC, Existing Vegetation Cover, GIS, GPLCC, All tags... Great Plains Landscape Conservation Cooperative, Kansas, LANDFIRE, Nebraska, New Mexico, Oklahoma, Raster digital data, South Dakota, Texas, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, Wyoming, Fewer tags LANDFIRE Existing Vegetation Type for the Great Plains Landscape Conservation Cooperative The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, EVT, Existing Vegetation Type, GIS, GPLCC, All tags... Great Plains Landscape Conservation Cooperative, Kansas, LANDFIRE, Nebraska, New Mexico, Oklahoma, Raster digital data, South Dakota, Texas, U.S., U.S. Geological Survey, US, USFS, USGS, United States, Wyoming, imageryBaseMapsEarthCover, Fewer tags LANDFIRE Aspect for the Great Plains Landscape Conservation Cooperative The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Aspect, Colorado, Downslope Direction, EDNA, GPLCC, All tags... Great Plains Landscape Conservation Cooperative, Hydrologic Derivative, Kansas, LANDFIRE, Nebraska, New Mexico, Oklahoma, Raster digital data, South Dakota, Texas, U.S., U.S. Geological Survey, US, USGS, United States, Wyoming, imageryBaseMapsEarthCover, Fewer tags EDNA Slope (degrees) LANDFIRE for Wyoming at 1:24,000 This file contains one of many raster grids of the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The slope grid was generated from the filled DEM using the "slope" function. The grid was created with the degree, not percent, slope parameter. Categories: Data; Types: Downloadable; Tags: EDNA, Federal Government, Hydrologic Derivative, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, Slope, U.S., U.S. Geological Survey, US, US Geological Survey, USGS, United States, biota, environment, imageryBaseMapsEarthCover, 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 Gulf Coast Prairie LCC LANDFIRE Ecological Site Potential LANDFIRE Ecological Site Potential for the Gulf Coast Prairie LCC Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Ecological System Potential, GCP, LANDFIRE Land use change and fragmentation of Great Sand Dunes Greater Wildland Ecosystems (GWE) using LANDFIRE data Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Grasslands and Plains, Greater Wildland Ecosystem, Housing Density, LANDFIRE, Land Use Land Cover, All tags... Landscapes, NLCD, North Central CASC, Other Landscapes, Fewer tags Vegetation data for Southwest Forest Vulnerability Index Derived from the LANDFIRE Existing Vegetation data (http://www.landfire.gov/vegetation.php). This dataset has been resampled from the 30 m resolution of the source data to 300 m. The resampling was done using a majority filter so that cells in the new raster represent the most common type from the original raster. The main use for this dataset is in conjunction with Southwest Forest Vulnerability Index rasters, which contain the modeled vegetation exposure scores for several projected future climate scenarios. This raster can be used as an index of the vegetation type being modeled at each location. Categories: Data; Types: Downloadable, GeoTIFF, Raster; Tags: Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, Plants, All tags... Southwest CASC, Wildlife and Plants, landfire, southwest, vegetation, Fewer tags 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 LANDFIRE datasets (March 2013), clipped and projected To support the ALI spatial priorities analysis, the LANDFIRE rasters in this geodatabase were downloaded from http://www.landfire.gov/datatool.php, and clipped to the Washington Wildlife Habitat Connectivity Working Group's (WHCWG) Columbia Plateau (CP) study area, which is the CP ecoregion with a 25km buffer. They were also projected to the HabConnectProjectArea_North_America_Albers_Equal_Area_Conic projection, a custom projection developed by the WHCWG for their CP analysis and also used for the ALI Marxan analysis. The data were downloaded in March 2013. Since then, some (but not all) of these datasets have been updated. The included layers are: - biophysical settings - succession class - existing vegetation... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALI, Columbia Plateau, Data, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, All tags... LANDFIRE, LCC Network Science Catalog, Regional & county planners, Spatial Prioritization, State agencies, completed, environment, vegetation, Fewer tags 1 2 »