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Filters Date Range Past year (5) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions (Less) Raster (5) Types (Less) Citation (16) Downloadable (6) GeoTIFF (6) Map Service (6) Raster (6) Contacts (Less) Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey Fort Collins Science Center U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center Dave Hamilton Metadata Specialist More... Categories (Less) Data (6) Tag Types Theme (23) Place (23) Label (16) Harvest Set (1) USGS Scientific Topic Keyword (1) Tag Schemes None (18) FGDC (5) U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology (16) ISO 19115 Category (16) U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4: Washington, D.C., National Institute of Standards and Technology (1) USGS Thesaurus (1) ISO 19115 Topic Category (2) USGS Geographic Names Information System (GNIS), https://geonames.usgs.gov (1) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Institute of Standards and Technology (2) Common geographic areas (1) View Results as: JSON ATOM CSV

LANDFIRE - 13 Anderson Fire Behavior Fuel Models (LANDFIRE.US_130FBFM13) 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... Types: Citation; Tags: 010, Fire Behavior Fuel Model, Fuel Map, GIS, LANDFIRE, All tags... LF_1.3.0, Raster digital data, Refresh 2012, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, fbfm13, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2011 Land Cover Conterminous United States Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National... Tags: Continuous, Digital Spatial Data, GIS, Land Use Change, Percent Tree Canopy, All tags... Remote Sensing, Tree Canopy Cover, U.S., U.S. Forest Service, U.S.A., US, USA, USFS, USGS Science Data Catalog (SDC), United States, United States of America, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Fuel Loading Models (LANDFIRE.US_110FLM) 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), fuel characterization classification system (FCCS), 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: The LANDFIRE fuel loading model (FLM) classification system is based on unique sets of fuel characteristics that simplify the input of fuel loadings into fire... Types: Citation; Tags: Fuel Loading Model, GIS, LANDFIRE, LF_1.1.0, Raster digital data, All tags... Refresh 2008, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, effects group, flm, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Forest Canopy Height (LANDFIRE.US_130CH) 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 (CH) 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... Types: Citation; Tags: 010, CH, Canopy Height, GIS, LANDFIRE, All tags... LANDFIRE 2012, LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, 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 - 40 Scott and Burgan Fire Behavior Fuel Models (LANDFIRE.US_130FBFM40) 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... Types: Citation; Tags: 010, Fire Behavior Fuel Model, Fuel Map, GIS, LANDFIRE, All tags... LANDFIRE 2012, LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, fbfm40, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Biophysical Setting (LANDFIRE.US_130BPS) The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and 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 biophysical settings (BpS) data layer represents the vegetation that may have been dominant on the landscape prior to Euro-American settlement and is based on both the current biophysical environment and an approximation of the historical disturbance regime. It is a refinement... Types: Citation; Tags: Biophysical Settings, BpS, GIS, LANDFIRE, LANDFIRE 2012, All tags... LF_1.3.0, Potential Vegetation, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Existing Vegetation Height (LANDFIRE.US_130EVH) Introduction: 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. Abstract: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Plots from the Forest Inventory and Analysis (FIA)... Types: Citation; Tags: 010, EVH, Existing Vegetation Height, GIS, LANDFIRE, All tags... LANDFIRE 2012, LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Vegetation Condition Class (LANDFIRE.US_130VCC) Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National... Types: Citation; Tags: GIS, LANDFIRE, LANDFIRE 2012, LF_1.3.0, Raster digital data, All tags... SageDAT-data, U.S., U.S. Geological Survey, US, US, USFS, USGS, United States, United States Forest Service, Vegetation Condition Class, imageryBaseMapsEarthCover, vcc, Fewer tags LANDFIRE - Vegetation Departure (LANDFIRE.US_130VDEP) Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National... Types: Citation; Tags: GIS, LANDFIRE, LANDFIRE 2012, LF_1.3.0, Raster digital data, All tags... SageDAT-data, U.S., U.S. Geological Survey, US, US, USFS, USGS, United States, United States Forest Service, Vegetation Departure, imageryBaseMapsEarthCover, vdep, Fewer tags LANDFIRE - Existing Vegetation Type (LANDFIRE.US_130EVH) Introduction: 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. Abstract: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Plots from the Forest Inventory and Analysis (FIA)... Types: Citation; Tags: 010, EVH, Existing Vegetation Height, GIS, LANDFIRE, All tags... LANDFIRE 2012, LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, Fewer tags LANDFIRE Biophysical Settings 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: Biophysical Settings, BpS, Colorado, GIS, GPLCC, All tags... Great Plains Landscape Conservation Cooperative, Kansas, LANDFIRE, Nebraska, New Mexico, Oklahoma, Potential Vegetation, Raster digital data, South Dakota, Texas, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, Wyoming, imageryBaseMapsEarthCover, Fewer tags LANDFIRE Vegetation Condition Class in the SRLCC LANDFIRE Vegetation Condition Class (VCC) raster data set, clipped to the boundary of the Sourthern Rockies Landscape Conservation Cooperative (SRLCC). VCC data quantifies the extent to which vegetation types have departed from simulated historical reference conditions. A VCC level of 1 represents a low level of departure, VCC 2 is moderate departure and VCC 3 is high departure. Other land cover categories are barren, sparsely vegetated, agriculture, urban, water and snow/ice. The attached Excel spreadsheet shows the area (square km) covered by each category, in the entire SRLCC and within its level III ecoregions. There is also an attached GIF preview image that shows how the raster data appear in ArcMAP. LANDFIRE... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: ImageryBaseMapsEarthCover, LANDFIRE, LF_1.1.0, Raster digital data, Refresh 2008, All tags... U.S. Geological Survey, USFS, USGS, United States Forest Service, VCC, Vegetation Condition Class, Fewer tags LANDFIRE Canopy Bulk Density 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: Canopy Bulk Density, Canopy Bulk Density, Colorado, Colorado, GIS, All tags... GIS, GPLCC, GPLCC, Great Plains Landscape Conservation Cooperative, Great Plains Landscape Conservation Cooperative, Kansas, Kansas, LANDFIRE, LANDFIRE, Nebraska, Nebraska, New Mexico, New Mexico, Oklahoma, Oklahoma, Raster digital data, Raster digital data, South Dakota, South Dakota, Texas, Texas, U.S., U.S., U.S. Geological Survey, U.S. Geological Survey, US, US, USFS, USFS, USGS, USGS, United States, United States, United States Forest Service, United States Forest Service, Wyoming, Wyoming, imageryBaseMapsEarthCover, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Forest Canopy Bulk Density (LANDFIRE.US_130CBD) 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 that would burn in a crown fire (Van Wagner 1977; Scott and Reinhardt 2001; Keane et al. 2005). A spatially explicit... Types: Citation; Tags: 010, Canopy Bulk Density, GIS, LANDFIRE, LANDFIRE 2012, All tags... LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, cbd, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Environmental Site Potential (LANDFIRE.US_130ESP) The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and 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 environmental site potential (ESP) data layer represents the vegetation that could be supported at a given site based on the biophysical environment. Map units are named according to NatureServe's Ecological Systems classification, which is a nationally consistent set... Types: Citation; Tags: 010, Environmental Site Potential, GIS, LANDFIRE, LANDFIRE 2012, All tags... LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, esp, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Succession Classes (LANDFIRE.US_130SCLASS) Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. LANDFIRE produces maps of historical fire regimes and vegetation conditions using the disturbance dynamics model VDDT. These maps support fire and landscape management planning outlined in the goals of the National Fire Plan, Federal Wildland Fire Management Policy, and the Healthy Forests Restoration Act. Data Summary: Succession Classes categorize current vegetation composition and structure into up to five successional... Types: Citation; Tags: GIS, LANDFIRE, LANDFIRE 2012, LF_1.3.0, Raster digital data, All tags... SageDAT-data, Succession Classes, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, sclass, Fewer tags LANDFIRE - Forest Canopy Cover (LANDFIRE.US_130CC) 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 cover (CC) describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface... Types: Citation; Tags: 010, CC, Canopy Cover, GIS, LANDFIRE, All tags... LANDFIRE 2012, LF_1.3.0, Raster digital data, SageDAT-data, U.S., U.S. Geological Survey, US, USFS, USGS, United States, United States Forest Service, imageryBaseMapsEarthCover, Fewer tags Station AMT01; Audio-magnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service. The USGS used AMT data at six sites along a southwest-northeast profile of about 10 kilometers (km) across the northwest-trending Sunnyside porphyry copper system. Tags: AMT, Arizona, Assessment Techniques for Concealed Mineral Resources project, DOI, Department of the Interior, All tags... GGGSC, GPS measurement, Geology, Geophysics, and Geochemistry Science Center, MRP, MT, Mineral Resources Program, Patagonia Mountains, San Rafael Valley, Santa Cruz County, Sunnyside porphyry, U.S. Forest Service, U.S. Geological Survey, USFS, USGS, apparent resistivity, audiomagnetotelluric, copper, economy, electric field (earth), geophysics, geoscientificInformation, impedance, impedance phase, impedance strike, magnetic field (earth), magnetotelluric, magnetotelluric surveying, sounding, tipper, Fewer tags 1 2 »