Filters: Tags: usfs (X) > partyWithName: Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Citation (16) Downloadable (1) GeoTIFF (1) Map Service (1) Raster (1) Contacts U.S. Geological Survey U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center U.S.Geological Survey U.S. Geological Survey, Customer Service Representative U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Customer Service Representative More... Categories Data (1) Tag Types Theme (16) Place (16) Label (16) Tag Schemes None (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 (16) ISO 19115 Category (16) 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) 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 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 - 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 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 - 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 LANDFIRE - Existing Vegetation Cover (LANDFIRE.US_130EVC) 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 cover (EVC) data layer depicts percent canopy cover by life form, and is an important input to other LANDFIRE mapping efforts. EVC is generated separately for tree, shrub and herbaceous life forms using training data and a series of geospatial predictor layers. Plots from... Types: Citation; Tags: 010, EVC, Existing Vegetation 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 LANDFIRE - Forest Canopy Base Height (LANDFIRE.US_130CBH) 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: A spatially explicit map of canopy base height supplies information used in fire behavior models such as FARSITE (Finney 1998) to determine the point at which a surface fire will transition to a crown fire.... Types: Citation; Tags: 010, Canopy Base Height, 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, cbh, imageryBaseMapsEarthCover, Fewer tags LANDFIRE - Fuel Characteristic Classification System Fuelbeds (LANDFIRE.US_110FCCS) 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 Fuel Characteristic Classification System (FCCS) defines a fuelbed as the inherent physical characteristics of fuel that contribute to fire behavior and... Types: Citation; Tags: Fuel Characterization Classification System, 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, fccs, imageryBaseMapsEarthCover, Fewer tags