Filters: Tags: Raster data (X)
24 results (123ms)|
Filters
Date Range
Types Contacts
Categories Tag Types Tag Schemes |
These raster data represent the results of a case study in Arizona on how vertebrate richness metrics can be used with existing state and federal guidance in wind and solar energy facility siting. Each of the four geodatabases (see Cross References) contain eight native terrestrial wildlife group models in Arizona: 1) all vertebrates, 2) amphibians, 3) reptiles, 4) birds, 5) mammals, 6) bats, 7) raptors and 8) long-distant migratory birds. An XML workbook is included that lists all terrestrial native vertebrate species in Arizona which cross-walks these species to the name of the National Gap Analysis Project species distribution model.
This ESRI geodatabase consists of 5 feature datsets with 23 individual polygon feature classes and two raster datasets. A master campsite polygon feature class represents the boundaries of campsites identified in the 1973, 1984, and 1991 campsite inventories of the Colorado River corridor in Grand Canyon, Arizona. The other polygon feature classes represent camp locations along the Colorado River corridor in Grand Canyon, Arizona during different survey periods using different surveying techniques. The raster datasets represent sub-aerial and sub-surface sandbar surfaces at 37 long term-monitoring sites between Lees Ferry and Diamond Creek, Arizona in Grand Canyon National Park, measured in September and October...
These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1895 - 2008.Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 4-km time series data developed by the PRISM Climate Group at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic...
This website provides access to active links for data collected at the Santa Rita Experimental Range. Included in the links are access to shapefiles, excel files, raster and other forms of data on precipitation, vegetation, animals and other subjects.
These data were modified from their original format for use in the Middle Rockies REA invasive species assessment. These data represent the annual precipitation (mm) for the Middle Rockies between 1971 and 2000. The data have been converted from 400m data to 90m.Original Metadata: Spatially distributed monthly and annual precipitation. Each file represents 1 month of 1 year for the period January 1971 to 2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating precipitation values at any single point on the map. Precipitation estimated for each...
CONUS-wide actual ET (ETa) from Landsat thermal imagery-using the Operational Simplified Surface Energy Balance (SSEBop) model (version 4) in the Google Earth Engine (GEE) cloud computing platform. Over 150,000 Landsat satellite images were used to produce 10 years of annual ETa (2010-2019).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
Hydrology,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 800 m normals data developed by the PRISM Climate Group at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic calculation that is performed on a cell-by-cell...
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1980 - 2009. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 2-km time series data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster...
Climatic suitability models and assessments for plant species and communities of the Southwestern US
These data were compiled to assess potential changes in the climatic suitability for 66 species (dominant and associate plant species) and forecast climate exposure for 29 major plant communities within major plant communities in the southwestern United States. An objective of our study was that species within plant communities have unique climate suitability signatures and forecast changes in climatic suitability will not be uniform within the species respective communities or among species within the community. The climate suitability spatial models were developed under a modern baseline (1960-90) and future climate scenario (2041-2060) using Maxent and WorldClim temperature and precipitation variables. Plant...
These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these data are 1940 to 2018. The shapefile data are measurements of features of the active river channel and floodplains of the Colorado River. The raster data are aerial images and digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent...
This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
Categories: Data;
Types: Data,
Downloadable,
Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Africa,
Hydrology,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between October 5, 2015, and January 21, 2022, using available imagery from the Sentinel-2 mission. The U.S. Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 110 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse...
Categories: Data;
Tags: Bureau of Land Management Lands,
Churchill County,
Department of Defense Lands,
Dixie Meadows,
Dixie Valley,
These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
These data consist of measurements of riverbed and floodplain bathymetry and topography, measurements of water-surface elevations and ancillary data. These data are specific to the corridor of the Colorado River from the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah in Canyonlands National Park to the confluence with the Dirty Devil River in Glen Canyon National Recreation Area. The time period for these data are 2020 and 2021. The raster data are digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah and include both bathymetric and topographic data. The data collected in 2020 consist of bathymetric and topographic data for segments of the Colorado...
These data were modified from their original format for use in the Northwestern Great Plains REA invasive species assessment. These data represent the annual precipitation (mm) for the Northwestern Great Plains between 1971 and 2000. The data have been converted from 400m data to 90m.Original Metadata: Spatially distributed monthly and annual precipitation. Each file represents 1 month of 1 year for the period January 1971 to 2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating precipitation values at any single point on the map. Precipitation...
These data were compiled to forecast climate exposure for 29 major plant communities in the southwestern United States to changing climate under two future climate change scenarios. An objective of our study was that species within plant communities have unique climate suitability signatures and forecast changes in climatic suitability will not be uniform within the species respective communities or among species within the community. We developed these spatial models where climate exposure is represented as a composite score of the climate exposure of characteristic plants for each community. Baseline climate exposure rasters represent a baseline climate change and were developed for current climate conditions...
Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the averaged climate years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 400 m climate normals data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were...
These data were modified from their original format for use in the Northwestern Great Plains REA invasive species assessment. These data represent the seasonal temperature (June - August) for the Northwestern Great Plains between 1971 and 2000. The data have been converted from 4000m data to 90m.Original Metadata: Spatially distributed monthly and annual average maximum/minimum/dew point temperature. Each file represents 1 month of 1 year for the period January 1971 to 2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, The PRISM Climate Group, Oregon State University. Care should be taken in estimating temperature values...
These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm. These data are a subset of all the environmetal raster covariate data used in the ART algorithm. Users are advised to read the mansuscript, associated with these data and identified as the larger work citation. It is recommended that data users contact the data set author if they have any questions about the development, processing, contribution, and use of these data in the Automated Reference Toolset.
|
|
