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Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
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This dataset “Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance” presents information extracted from the Natural Resources Conservation Service (NRCS) gridded surface soils geographic database (gSSURGO). Fields retained and presented here include map unit (MU) codes and component (COMP) codes that may be used to reference records in the original, NRCS, data. Soil salinity is typically measured and evaluated based on electrical conductance (EC), and values presented here include the representative value for the map unit component (ECR) and the highest estimated value (ECH). Soils with high salinity can affect the composition of vegetation and can limit production...
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Hillshade of lidar-derived, bare earth digital elevation model, with 235-degree azimuth and 20-degree sun angle, 0.25m resolution, depicting earthquake effects following the August 24, 2014 South Napa Earthquake.
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This part of DS 781 presents data for the sediment-thickness map of the Pigeon Point to Monterey, California, map region. The raster data file is included in "SedimentThickness_PigeonPointToMontereyBay.zip," which is accessible from https://doi.org/10.5066/F7N29V0Z. As part of the USGS's California State Waters Mapping Project, a 50-m-resolution grid of sediment thickness for the seafloor within the limit of California’s State Waters between Pigeon Point and southern Monterey Bay was generated from seismic-reflection data collected in 2009, 2010, and 2011 (USGS activities (S-15-10-NC, S-N1-09-MB, and S-06-11-MB) supplemented with outcrop and geologic structure from DS 781. Isopach contours at 2.5-meter intervals...
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This part of DS 781 presents data for the bathymetry map of Offshore Scott Creek, California. The raster data file is included in "Bathymetry_OffshoreScottCreek.zip", which is accessible from https://doi.org/10.5066/F7CJ8BJW. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series--Offshore of Scott Creek, California: U.S. Geological Survey Open-File Report 2015-1191, pamphlet 40 p., 10 sheets,...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acoustic Reflectivity, CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, Marine Nearshore Subtidal, All tags...
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Reflectance data from HyMap™ were processed using the Material Identification and Characterization Algorithm (MICA), a module of the USGS PRISM (Processing Routines in IDL for Spectroscopic Measurements) software (Kokaly, 2011), programmed in Interactive Data Language (IDL; Harris Geospatial Solutions, Broomfield, Colorado). The HyMap reflectance data are provided and described in this data release. MICA identifies the spectrally predominant mineral(s) in each pixel of imaging spectrometer data by comparing continuum-removed spectral features in the pixel’s reflectance spectrum to continuum-removed absorption features in reference spectra of minerals, vegetation, water, and other materials. Linear continuum removal...
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This part of DS 781 presents data for the shaded-relief bathymetry map of Offshore Scott Creek, California. The raster data file is included in "BathymetryHS_OffshoreScottCreek.zip", which is accessible from https://doi.org/10.5066/F7CJ8BJW. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series--Offshore of Scott Creek, California: U.S. Geological Survey Open-File Report 2015-1191, pamphlet...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acoustic Reflectivity, CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, Marine Nearshore Subtidal, All tags...
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This part of DS 781 presents data for the acoustic-backscatter map of Offshore of Scott Creek map area, California. Backscatter data are provided as three separate grids depending on mapping system. The raster data files are included in "BackscatterC_SWATH_OffshoreScottCreek.zip," which is accessible from https://doi.org/10.5066/F7CJ8BJW. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series--Offshore...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acoustic Reflectivity, Backscatter, CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, All tags...
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This synthesized results data set is a normalized unit-less layer represent the varying levels of importance of land parcels associated with agriculture in the WLCI region. This raster represents a normalized sum for 9 spatial data sets: irrigated acreage in wet years, irrigated acreage in dry years, land classification for pasture/rangeland/ production, important grazing and calving areas, buffered locations of water 'guzzlers,' an elk depredation claims index, a mule deer depredation claims index, an antelope depredation claims index, an index based on the age of agricultural buildings associated with land parcels. These data represent an initial step towards spatially identifying lands that represent greater...
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This data release is part of a larger data release including data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). These data were generated through the use of r.geomorphon, a GRASS GIS toolkit, to classify local terrain conditions into one of ten distinct landforms called geomorphons.
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This part of DS 781 presents data for the acoustic-backscatter map of Offshore of Scott Creek map area, California. Backscatter data are provided as three separate grids depending on mapping system. The raster data files are included in "BackscatterA_8101_OffshoreScottCreek.zip," which is accessible from https://doi.org/10.5066/F7CJ8BJW. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Watt, J.T., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series--Offshore...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acoustic Reflectivity, Backscatter, CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, All tags...
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This dataset represents numerical values denoting a binary identification of whether a particular condition is met. In this case, values represent whether a given land parcel (represented as a pixel) is classified as "Hay/Pasture" or "Cultivated Crops" (pixels will be assigned a value of 1), or not (all pixels not in one of these categories will be assigned a value of 0). This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
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Airborne magnetic data are provided here as part of the data release, "Airborne magnetic and radiometric survey, Munsungun Region, northern Maine, 2021." This website includes the processed aeromagnetic data provided in an ascii .csv file and a geoTIFF image showing the anomalous magnetic field. The contractor report is available on the parent page. Data for this survey were collected and processed by Sander Geophysics under contract with the USGS as part of the Earth Mapping Resources Initiative (Earth MRI) using a fixed wing aircraft with a magnetometer mounted in a tail stinger and a fully calibrated gamma ray spectrometer, data were collected along northwest-southeast flight lines spaced 250 meters (m) apart...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Allagash Lake, Aroostook County, Aroostook River, Bever Brook, Big Machias Lake, All tags...


map background search result map search result map Elevation in the Wyoming Basins Ecoregional Assessment area Oil and Gas Well Density in the Western United States BackscatterA [8101]--Offshore of Scott Creek map area, California BackscatterC [SWATH]--Offshore of Scott Creek map area, California Bathymetry--Offshore of Scott Creek map area, California Bathymetry Hillshade--Offshore of Scott Creek map area, California Sediment Thickness--Pigeon Point to Monterey, California WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Mineral predominance map for Nabesna, Alaska, derived from imaging spectrometer reflectance data Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado Raster Dataset Model of the Mahogany Bed Structure in the Uinta Basin, Utah and Colorado Raster Dataset Model of Overburden Above the Mahogany Zone in the Piceance Basin, Colorado Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami velocity model of Santa Cruz, California Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami velocity model of Half Moon Bay, California Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami elevation model of Half Moon Bay, California Airborne magnetic data, Munsungun region in northern Maine, 2021 Discrete Classifications of Landforms (Geomorphons) for Anne Arundel County, Maryland in 2017 Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami velocity model of Half Moon Bay, California Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami elevation model of Half Moon Bay, California Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami velocity model of Santa Cruz, California Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Bathymetry Hillshade--Offshore of Scott Creek map area, California Bathymetry--Offshore of Scott Creek map area, California BackscatterA [8101]--Offshore of Scott Creek map area, California BackscatterC [SWATH]--Offshore of Scott Creek map area, California Sediment Thickness--Pigeon Point to Monterey, California Raster Dataset Model of Overburden Above the Mahogany Zone in the Piceance Basin, Colorado Mineral predominance map for Nabesna, Alaska, derived from imaging spectrometer reflectance data TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado Airborne magnetic data, Munsungun region in northern Maine, 2021 Raster Dataset Model of the Mahogany Bed Structure in the Uinta Basin, Utah and Colorado Discrete Classifications of Landforms (Geomorphons) for Anne Arundel County, Maryland in 2017 WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance Elevation in the Wyoming Basins Ecoregional Assessment area Oil and Gas Well Density in the Western United States