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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...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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A raster dataset of the appropriate management levels of horses in BLM Herd Management Areas (HMAs) and USFS Wild Horse and Burro Territories (WHBT) within Reslience and Resistance classes within the GRSG management zones. This dataset was made by adding the Resilience and Resistance raster to a raster of horse AML levels.
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A raster dataset representing conifer cover within the Western United States. This dataset was made reclassifying the LANDFIRE 1.3 EVT layer into "Conifer-dominated Ecological Systems with Little to No Sagebrush", and "Conifer-dominated Ecological Systems Likely to Expand into Sagebrush".
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
Ecological regions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across international, national, province and state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America...
Tags: SageDAT-data
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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...
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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 historical fire regimes and vegetation conditions using the disturbance dynamics model VDDT. 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 Fire Plan, Federal Wildland Fire...
Types: Citation; Tags: SageDAT-data
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We mapped eleven years of cheatgrass dieoff in the northern Great Basin. If we estimated that a dieoff occurred in a pixel anytime during that eleven year period, then the pixel was coded as dieoff. If no dieoff occurred, the pixel was coded as a non dieoff. The cheatgrass dieoff probability map was produced by inputting the coded data into a decision-tree model along with topographic data, edaphic data, land cover data, and climate data. A proxy for latitude was included. The resulting model was input into a mapping application that generated a map of cheatgrass dieoff probability.
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A raster dataset of the percent of tilled agriculture within a 5km radius moving window. This dataset was made by reclassifying the 2014 National Agricultural Statistics Service Cropland Datalayer into to include values of only tilled agriculture, then conductding a moving window analysis on the resulting raster to provide a dataset depicting amount of tilled agriculture within a 5km radius of each 30m pixel. This data was published July 2016.
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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...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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A raster dataset of the percent of precipitation that falls during summer (July-September). This dataset was made by dividing the 30-year Normal summer (July - September) precipitation value by the 30-year Normal Annual precipitation value. Data is provided at a 900m resolution. This data was published July 2016.
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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 historical fire regimes and vegetation conditions using the disturbance dynamics model VDDT. LANDFIRE 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 Fire Plan, Federal Wildland Fire Management...
map background search result map search result map Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Estimated potential for sage-grouse movement Sage-grouse Habitat Categories in Nevada and NE California (August 2014) LANDFIRE - Forest Canopy Height (LANDFIRE.US_130CH) LANDFIRE - Fuel Loading Models (LANDFIRE.US_110FLM) LANDFIRE - Fire Regime Groups (LANDFIRE.US_130FRG) LANDFIRE - Percent of Mixed-severity Fire (LANDFIRE.US_130PMS) LANDFIRE - 13 Anderson Fire Behavior Fuel Models (LANDFIRE.US_130FBFM13) Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Shrub Height - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Western United States Conifer Cover Raster Western United States Percent of Tilled Agriculture within a 5km Radius Raster Western United States Percent Summer Rain Raster GRSG Relative High and Low Densities within R&R Classes Raster Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Horse AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster Estimated potential for sage-grouse movement LANDFIRE - Fuel Loading Models (LANDFIRE.US_110FLM) LANDFIRE - Forest Canopy Height (LANDFIRE.US_130CH) LANDFIRE - Fire Regime Groups (LANDFIRE.US_130FRG) LANDFIRE - Percent of Mixed-severity Fire (LANDFIRE.US_130PMS) LANDFIRE - 13 Anderson Fire Behavior Fuel Models (LANDFIRE.US_130FBFM13) Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Sage-grouse Habitat Categories in Nevada and NE California (August 2014) GRSG Relative High and Low Densities within R&R Classes Raster Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Shrub Height - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Western United States Percent of Tilled Agriculture within a 5km Radius Raster Horse AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster Western United States Conifer Cover Raster Western United States Percent Summer Rain Raster