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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Front Royal 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs) and lidar point cloud (LPC). The lidar source data were compiled from different acquisitions published between 2014 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) populations across the US and Canada. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies have employed epidemiological models to understand long-term environmental risk. However, continued rapid spread of CWD into new regions of the continent has underscored the need for extension of these models into broader tools applicable for wide use by wildlife agencies. Additionally, efforts to semi-automate models will facilitate...
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The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based...
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A raster surface identifying hotspots of conservation priority based on 375 location records (89 unique geographic locations) of 28 species of Carnivora in Peninsular Malaysia. Hotspot analysis was conducted by calculating the Getis-Ord Gi* (pronounced G-i-star) statistic, using IUCN Red List status rank for each species as a weighting variable. Raster cell values represent a kernel density of z-scores measuring the statistical significance of clustering or dispersion of species of conservation concern. Areas of high clustering (high z-scores) correspond to areas on Peninsular Malaysia where carnivore communities of conservation concern are more likely to persist, and delineate priority regions for carnivore conservation....
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This USGS Data Release represents geospatial and tabular data for the Nisqually River Delta historical habitat mapping. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 9 separate items: 1. Forest Change (raster dataset) 2. Forest Type Change (raster dataset) 3. Functional Pathway Change (raster dataset) 4. 1957 Habitat Map (raster dataset) 5. 1980 Habitat Map (raster dataset) 6. 2015 Habitat Map (raster dataset) 7. 1980 Species Map (raster dataset) 8. 2015 Species Map (raster dataset) 9. Wetland Change (raster dataset) These data support...
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This data release provides a map of the time-averaged shear-wave velocity in the upper 30 m (Vs30) for California using the method described by Thompson and others (2014). There are two adjustments to the algorithm described by Thompson and others (2014), which is built on the geology-based Vs30 map by Wills and Clahan (2006). In this data release, we use the Wills and others (2015) updated geology-based Vs30 map. The second change is that we have adjusted the kriging procedure so that measured Vs30 values do not affect the predictions across distinctly different geologic units. July 2022 Update (ver. 2.0) Resolution is now 3 arcseconds instead of 7.5 arcseconds Fixed a code error that prevented some of the Vs30...
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This data release comprises a georeferenced raster layer depicting the estimated susceptibility to intense rainfall-induced landslides in Puerto Rico, which is a supplement to: Hughes, K.S., and Schulz, W.H., 2020, Map depicting susceptibility to landslides triggered by intense rainfall, Puerto Rico: U.S. Geological Survey Open-File Report 2020–1022, 91 p., 1 plate, scale 1:150,000, https://doi.org/10.3133/ofr20201022. Users of this layer are strongly encouraged to read the text herein and available with Open-File Report 2020-1022. DEVELOPMENT OF THE LANDSLIDE SUSCEPTIBILITY MAP Landslides commonly occur in Puerto Rico during or soon after intense rainfall and present significant hazards to the built environment...
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This dataset provides topographic indices derived from 1 m resolution DEMs for sequoia groves in both Sequoia-Kings Canyon and Yosemite National Parks. All mapped sequoia groves in Sequoia-Kings Canyon National Park and two groves from Yosemite National Park, Merced and Mariposa, are included. For each grove, aspect, slope, the stream network, height above nearest drainage (HAND), depth to water (DTW), maximum elevation deviation (DEVmax), and heat load index (HLI) are calculated. These indices were chosen because of their relevance in determining soil moisture across a landscape. Derived topographic parameters were calculated using 1 m DEMs generated in 2016 resampled to 3 m and a combination of ArcGIS Pro Tools,...
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This landuse / landcover (LULC) map displays a basic depiction of the Los Planes watershed in Baja California Sur, Mexico. This simplified, 7-class LULC map displays classes that are useful for hydrologic modeling and broad vegetation mapping in the region. It was created from analysis of six Sentinel-2 satellite images and other existing geospatial datasets. These satellite images are provided at 10-meter spatial resolution and were calibrated for topographic illumination effects to enhance its accuracy in rugged, mountainous terrain like that seen in the watershed. A novel filtering methodology was also applied to minimize the "salt-and-pepper effect" from the principle component analysis (PCA) and image classification...
    map background search result map search result map Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington Predicted Carnivore Conservation Hotspots in Peninsular Malaysia An Updated Vs30 Map for California with Geologic and Topographic Constraints (ver. 2.0, July 2022) Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) Geographic Information System Layer of a Map Depicting Susceptibility to Landslides Triggered by Intense Rainfall, Puerto Rico Input for Habitat Risk Software Digital Elevation Model (DEM) Derived Topographic Indices Across Sequoia Groves in Sequoia-Kings Canyon National Park and Yosemite National Park Enhanced Terrain Imagery of the Front Royal 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Landuse / Landcover Map of Los Planes Watershed, Baja California Sur, Mexico Enhanced Terrain Imagery of the Front Royal 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington Geographic Information System Layer of a Map Depicting Susceptibility to Landslides Triggered by Intense Rainfall, Puerto Rico Digital Elevation Model (DEM) Derived Topographic Indices Across Sequoia Groves in Sequoia-Kings Canyon National Park and Yosemite National Park Input for Habitat Risk Software Predicted Carnivore Conservation Hotspots in Peninsular Malaysia An Updated Vs30 Map for California with Geologic and Topographic Constraints (ver. 2.0, July 2022) Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)