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LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: Remote Sensing, San Francisco Bay, USGS Science Data Catalog (SDC), biota, digital elevation models, All tags... estuary, lidar, wetlands, Fewer tags The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Botany, California, Colorado, Ecology, All tags... Great Basin, Idaho, Information Sciences, Montana, Nevada, New Mexico, North America, North Dakota, Oregon, Remote Sensing, South Dakota, USGS Science Data Catalog (SDC), United States, Utah, Washington, Western United States, Wyoming, biogeography, biota, sage, sagebrush, Fewer tags Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, California, Class Chelonia, Class Reptilia, Class Testudines, All tags... Colorado, Ecology, Idaho, Lizard, Montana, Nevada, New Mexico, North America, Order Squamata, Oregon, Snake, Species Richness, Squamate, Turtle, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wildlife Biology, Wyoming, biogeography, biota, herpetology, reptiles, Fewer tags LEAN-Corrected Collier County DEM for wetlands Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: Collier county, Remote Sensing, USGS Science Data Catalog (SDC), biota, cypress, All tags... digital elevation models, estuary, lidar, mangroves, marsh, wetlands, Fewer tags Combined wildfire datasets for the United States and certain territories, 1878-2019 ***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3.*** This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Botany, Ecology, Forestry, Land Use Change, North America, All tags... USGS Science Data Catalog (SDC), United States, biota, burned area, count of times burned, environment, fire, fires, first year burned, geospatial datasets, most recent year burned, wildfire, Fewer tags Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape.... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: California, Campylorhynchus brunneicapillus, Los Angeles County, Orange County, Partitioned Mahalanobis D2, All tags... Riverside County, San Bernardino County, San Diego County, USGS Science Data Catalog (SDC), Ventura County, biota, coastal cactus wren, environment, geospatial analysis, habitats, landscape modeling, life sciences, multivariate statistical analysis, native species, niche modeling, shrubland ecosystems, species distribution models, statistical analysis, wildlife, Fewer tags Estuarine vegetated wetland change scenarios for estuaries in the conterminous United States, 1996–2019 This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture.... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Atlantic, California, Connecticut, Delaware, All tags... District of Columbia, Ecology, Emergent Wetland, Estuarine Coastal, Florida, Forested Wetland, Geomorphology, Georgia, Gulf of Mexico, Land Use Change, Louisiana, Maine, Maryland, Massachusetts, Mississippi, New Hampshire, New Jersey, New York, North Carolina, Oregon, Pacific, Pennsylvania, Remote Sensing, Rhode Island, South Carolina, Texas, USGS Science Data Catalog (SDC), Virginia, Washington, biota, coastal processes, effects of climate change, environment, imageryBaseMapsEarthCover, land use and land cover, marsh ecosystems, remote sensing, sea-level rise, wetland ecosystems, Fewer tags Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery This raster portrays the distribution of sagebrush within the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures and to calculate summary statistics. This distribution incorporates the most recently available sagebrush cover mapping (Xian et al. 2015, Rigge et al. 2019) and classified LANDFIRE EVT (Department of Ecosystem Science, University of Wyoming 2016). Both datasets were rigorously evaluated and extensive ground measurements taken to evaluate accuracy by the respective authors. We created a combined binary sagebrush distribution by classifying... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Arizona, Botany, California, Colorado, Ecology, All tags... Great Basin, Idaho, Information Sciences, Montana, Nevada, New Mexico, North America, North Dakota, Oregon, Sagebrush, South Dakota, USGS Science Data Catalog (SDC), United States, Utah, Washington, Western United States, Wyoming, biogeography, biota, sage, sagebrush, Fewer tags Least Bell's Vireo Habitat Suitability Model for California (2019) This habitat model was developed to identify suitable habitat for the federally-endangered least Bell’s vireo (Vireo bellii pusillus) across its current and historic range in California. The vireo disappeared from most of its range by the 1980s, remaining only in small populations in southern California. Habitat protection and management since the mid-1980s has led to an increase in southern California vireo populations with small numbers of birds recently expanding into the historic range. Predictions from this model will be used to focus surveys in the historic range to determine where vireos are recolonizing and to track the status and distribution of populations over time. We used the Partitioned Mahalanobis... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: California, Least Bell's vireo, Life sciences, USGS Science Data Catalog (SDC), Vireo bellii pusillus, All tags... Wildlife Biology, biota, endangered species, environment, geospatial analysis, habitat, landscape modeling, multivariate statistical analysis, native species, niche modeling, partitioned Mahalanobis D2, shrubland ecosystems, species distribution models, statistical analysis, wildlife, Fewer tags Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding the Eastern Neck National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for area surrounding the Martin National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013)... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags