Skip to main content
Advanced Search

Filters: Types: Citation (X) > Extensions: Raster (X)

Folders: ROOT > ScienceBase Catalog > USGS Data Release Products ( Show direct descendants )

37 results (11ms)   

View Results as: JSON ATOM CSV
thumbnail
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.
thumbnail
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
thumbnail
The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
thumbnail
Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create...
thumbnail
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...
thumbnail
This dataset contains a bare earth digital elevation model (DEM), with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The DEM was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota, and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Additional DEM processing to incorporate the bathymetry of study wetlands was done using survey-grade global positioning system (GPS) data collected by soundings of the bottom of each wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site (Mushet and Scherff...
thumbnail
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year. Using a topographic-based soil classification method, the ground motions are amplified for soil type. The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI. The data are for the Western United States and are based on the long-term 2014 National Seismic Hazard Model.
thumbnail
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."
thumbnail
A comparison of the 2017 USGS South America seismic hazard model and the 2010 USGS preliminary model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the gridded data for the 2010 PGA at 10% probability can be found in the zip archive that can be downloaded using a link on this page.
thumbnail
A comparison of the 2017 USGS South America seismic hazard model and the Global Seismic Hazard Assessment Program (GSHAP) model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the GSHAP data can be found here. Shedlock, K.M., Giardini, Domenico, Grünthal, Gottfried, and Zhang, Peizhan, 2000, The GSHAP Global Seismic Hazar Map, Sesimological Research Letters, 71, 679-686. https://doi.org/10.1785/gssrl.71.6.679
thumbnail
Imagery acquired with unmanned aerial systems (UAS) and coupled with structure-from-motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms...
thumbnail
A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for Modified Mercalli Intensity with a 50 percent probability of exceedance in 50 years. The maps and data were derived from PGA ground-motion conversions of Worden et al. (2012), and include soil amplification...
thumbnail
This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped...
thumbnail
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
thumbnail
Potential pollinator habitat was derived by ranking land use classifications and grassland quality based on ground truthing and remotely sensed features indicative of remnant prairie. High resolution (10m) land use data served as the basemap (Hartley et al 2017) from which most categories were identified. All known prairie remnants, prairie plantings, and clusters of mima mounds were delineated. Mima mounds were detected by deriving a slope at 1m scale with greater than 5% from high resolution LiDar data (3m). Mima mounds are indicative of areas in which the topsoil has not been significantly disturbed, and therefore have a higher potential to contain native prairie vegetation. Based on an in-depth literature review...
thumbnail
This dataset is a binary input representing irrigated areas (during 'wet' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
thumbnail
This dataset is a binary input representing irrigated areas (during 'dry' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."
thumbnail
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year. Using a topographic-based soil classification method, the ground motions are amplified for soil type. The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI. The data are for the Central and Eastern United States and are based on the one-year model.
thumbnail
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
thumbnail
We used NLCD 2011, SSURGO, and SEGAP data to map the density of desired resources for open pine ecosystems and six focal species of birds and 2 reptiles within the historic range of longleaf pine east of the Mississippi River. Binary rasters were created of sites with desired characteristics such as land form, hydrology, land use and land cover, soils, potential habitat for focal species, and putative source populations of focal species. Each raster was smoothed using a kernel density estimator. Rasters were combined and scaled to map priority locations for the management of each focal species. Species’ rasters were combined and scaled to provide maps of overall priority for birds and for birds and reptiles. For...


map background search result map search result map WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) Modeled conterminous United States Crop Cover datasets for 2012 WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Dry Years) WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Wet Years) WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Elevation Raster, Cannonsville Reservoir, 2015 Elevation Raster, Rondout Reservoir, 2013 to 2014 Elevation Raster, Schoharie Reservoir, 2014 Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Western United States Cottonwood Lake Study Area – Digital Elevation Model with Topobathy Grassland quality and pollinator habitat potential in Southwest Louisiana Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Prioritization of areas for open pine ecosystem restoration in the Southeastern United States: All Species High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Comparison with the 2010 USGS preliminary model Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Cottonwood Lake Study Area – Digital Elevation Model with Topobathy Elevation Raster, Schoharie Reservoir, 2014 Elevation Raster, Rondout Reservoir, 2013 to 2014 Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Elevation Raster, Cannonsville Reservoir, 2015 Grassland quality and pollinator habitat potential in Southwest Louisiana WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Dry Years) WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Wet Years) WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Prioritization of areas for open pine ecosystem restoration in the Southeastern United States: All Species Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Western United States Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Modeled conterminous United States Crop Cover datasets for 2012 Comparison with the 2010 USGS preliminary model Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years