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Provided by Lance Brady to the Wildlife Habitat Spatial Analysis Lab for use as the authoritative fire area data in the GRSG CEA on Friday June 15th 2012. Initial data included U.S. historic fire perimeters 2000-2011. In January, 2013, Susan Gutherie pro...
This dataset was created for the GRSG National Planning Effort from the 2008 BLM Land Health spreadsheet. Sherm Karl edited this spreadsheet to indicate those allotments in which the habitat land health standard is not being achieved and livestock grazing...
This dataset represents the consolidated submissions for oil and gas lease data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. It is intended solely for use in the GRSG cumulative effects analy...
This dataset represents the consolidated submissions for wind energy right-of-way and approved authorization data from BLM states responding to the WO 300 data call during the time periodN of ovember 2011 through May 2012. It is intended solely for use in...
This is an aggregate national dataset describing the geographic boundaries of the ACEC within the BLM managed public lands. The designated ACECs are "areas within the public lands where special management attention is required to protect and prevent irrep...
National burn probability (BP) and fire intensity level (FIL) raster datasets for the United States were generated for the 2012 Fire Program Analysis (FPA) System submissions using a geospatial Fire Simulation (FSim) system developed by the US Forest Serv...
This dataset represents the consolidated submissions for underground coal lease data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012 and updated with new data submitted for MT, ND, and SD on Janu...
File-based data for download:https://www.sciencebase.gov/catalog/item/65564e17d34ee4b6e05c4802 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
SEI,
SageDAT-data,
Sagebrush Conservation Design,
completed
Superseded by the GRSG 2015 USFWS Status Review Base Data Population dataset. This layer produced through collaborative work done by the 2012 Sage-Grouse Conservation Objectives Team (COT). The COT consisted of State and FWS representatives tasked with developing conservation objectives by defining the degree to which the threats to Sage-Grouse need to be ameliorated to conserve the Sage-Grouse so that it is no longer in danger of extinction or likely to become in danger of extinction. This data layer represents Sage-Grouse populations as defined by the COT. Population polygons provide a general identification of important areas for Sage-Grouse across its range. The population polygons originated from the Schroder,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Colorado,
Greater Sage-grouse,
Idaho,
Montana,
USGS developed The National Map (TNM) Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica,...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service,
OGC WFS Layer,
OGC WMS Layer;
Tags: BGN,
Cultural Resources,
GNIS,
Geographic Names,
NGP-TNM,
Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and rapid response initiatives. Here, we integrated in situ observations, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, maps of biophysical variables (e.g. soils and topography) and machine learning techniques to develop fractional estimates of exotic annual grass cover at a 30-m spatial resolution from 2016 to 2018....
Annual Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin
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...
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...
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...
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)...
The Western Association of Fish and Wildlife Agencies CHAT is intended to provide coarse-scale, non-regulatory wildlife information to support project pre-planning. Users of this interactive map are encouraged to also visit state-specific CHAT sites for more detail and to remember that no online tool is a substitute for on-the-ground surveys and consultation with state wildlife experts. The Western Association of Fish and Wildlife Agencies CHAT was created by state wildlife agencies across the West, using a common framework to define "Crucial Habitat" using a suite of priority datasets. The metadata pages describe how each state compiled their Crucial Habitat data and how the regional data was aggregated.
Area boundary of allotments, exclosures, special resource areas and wild horse and burro territories.
We developed rangewide population and habitat models for Greater Sage-Grouse (Centrocercus urophasianus) that account for regional variation in habitat selection and relative densities of birds for use in conservation planning and risk assessments. We developed a probabilistic model of occupied breeding habitat by statistically linking habitat characteristics within 4 miles of an occupied lek using a nonlinear machine learning technique (Random Forests). Habitat characteristics used were quantified in GIS and represent standard abiotic and biotic variables related to sage-grouse biology. Statistical model fit was high (mean correctly classified = 82.0%, range = 75.4–88.0%) as were cross-validation statistics (mean...
These data represent core areas for breeding habitats of pinyon jay (Gymnorhinus cyanocephalus). Core areas represent the smallest land base necessary to contain the resulting distributions across all species; for example, a 25% core area represents the minimum area containing at least 25% of the distributions for the species. These models were developed using prioritzR (https://prioritizr.net/index.html) using minimum set algorithms and relative targets set equally across each of the four bird layers.
Categories: Data;
Tags: Data,
Data.gov USFWS Science Applications,
Pinyon Jay Core Areas,
SageDAT-data,
completed
A raster dataset representing sagebrush cover within the Western United States. This dataset was made reclassifying the LANDFIRE 1.3 EVT layer into "Sagebrush-dominated Ecological Systems", and "Grass-dominated Ecological Systems with Sagebrush Components". This data was published July 2016.
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
CRS,
California,
Colorado,
Geospatial,
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