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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Baja California,
Botany,
California,
Ecology,
This part of DS 781 presents 2-m-resolution data for the acoustic-backscatter map of the Offshore of Point Conception Map Area, California. The GeoTiff is included in "Backscatter_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. This acoustic-backscatter map of the Offshore of Point Conception map area in southern California was generated from acoustic-backscatter data collected by Fugro Pelagos Inc. Acoustic mapping was completed in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. These acoustic-backscatter data cover the area from about the 10-m isobath to beyond the limit of California’s State Waters.
This data release provides digital flight line data for a high-resolution airborne magnetic survey over parts of Montana in the vicinity of the Boulder Batholith. The airborne survey was jointly funded by the Earth Mapping Resources Initiative and Kennecott Exploration Company. The survey was designed to meet complementary needs related to geologic mapping and characterization of mineral resource potential. A total of 34,041-line km of magnetic and radiometric data were acquired over an irregular-shaped area of 6178 km2. Data were collected from a helicopter flown at a nominal terrain clearance of 100 meters (m) above topography along E-W flight lines spaced at 200 m intervals. Tie lines were flown in an N-S direction...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: AASG,
Aeromagnetic survey,
Airborne geophysical survey,
Association of State Geologists,
Boulder Mountains,
This data release contains 3-meter gridded rasters of depth to bedrock below bathymetric surface, the thickness of unconsolidated sediment, and the volume of unconsolidated sediment within a 2.6-km reach of the Similkameen River, Okanogan County, Washington, impounded by Enloe Dam. These rasters were calculated from continuous resistivity profiles (CRP) surveyed using a SuperSting R8 8-channel resistivity meter with a CRP streamer containing a 100-m long array of 11 electrodes was towed behind a boat spaced at 10 m. After collection, the raw CRP files were georeferenced to coordinates concurrently by a global positioning system. Output files were merged and linearized. This was converted to a data file compatible...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Enloe Dam,
Hydrology,
Similkameen River,
USGS Science Data Catalog (SDC),
bedrock
These data were compiled so that annual wildfire could be modelled across the sagebrush region in the western United States. Our goal was to understand how wildfire probability relates to climate and fuel conditions across the entire sagebrush region. To do this we developed a statistical model that represents the relationship between annual wildfire probability and a small number of climate and fuel variables. Specifically, created predictions of wildfire probability using a biologically plausible logistic regression model that related wildfire probability to mean temperature, annual precipitation, the proportion summer precipitation (PSP), and aboveground biomass of annual herbaceous plants and perennial herbaceous...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Botany,
California,
Climatology,
Colorado,
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats study area, and will be served in the South Carolina StreamStats application (https://www.usgs.gov/streamstats) to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Botany,
Ecology,
Forestry,
Hydrology,
Land Use Change,
The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot and Evangeline aquifers (undifferentiated), and Jasper aquifer in the greater Houston area, Texas. This dataset shows current‐year (2023) groundwater‐level altitudes for each aquifer as well as 1–year (2022–23), and 5‐year (2018–23) groundwater‐level changes for each aquifer, long‐term (1990–2023 and 1977–2023) groundwater‐level changes for the Chicot and Evangeline aquifers...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Brazoria County Groundwater Conservation District,
Brazoria County, Texas,
Chambers County, Texas,
Chicot aquifer,
City of Houston, Texas,
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