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Filters Date Types (for Date Range) Extensions Shapefile (1) Types Citation (3) Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) Downloadable (1) OGC WMS Service (1) Shapefile (1) Contacts U.S. Geological Survey - ScienceBase Jon Dewitz Raymond F. Kokaly Earth Resources Observation and Science (EROS) Center Core Science Systems More... Categories Data (6) Data Release - Revised (1) Tag Types Place (53) Tags (with Scheme=Common Geographic Areas) united states (9) kootenay boundary (4) lake koocanusa (4) upper kootenai (4) africa (3) asia (3) australia (3) More... View Results as: JSON ATOM CSV

Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa: Mass Removal Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Categories: Data; Tags: British Columbia, Canada, Coal Mining, Elk River, Koocanusa Reservoir, All tags... Kootenai River, Kootenay Boundary, Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, Upper Kootenai, Water Quality, Fewer tags National Land Cover Database (NLCD) 2019 Land Cover Science Product (ver. 2.0, June 2021) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2021 Impervious Products The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. The NLCD 2021 release is update based, so the Land Cover and Impervious Surface products released in... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2021 Land Cover Science Products The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. The NLCD 2021 release is update based, so the Land Cover and Impervious Surface products released in... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: British Columbia, Canada, Coal Mining, Elk River, Koocanusa Reservoir, All tags... Kootenai River, Kootenay Boundary, Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, USGS Science Data Catalog (SDC), Upper Kootenai, Water Quality, Fewer tags Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa: Water Quality Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Categories: Data; Tags: Coal Mining, Elk River, Koocanusa Reservoir, Kootenai River, Kootenay Boundary, All tags... Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, Upper Kootenai, Water Quality, Fewer tags Summary statistics by region This dataset tabulates summary statistics for estimates of amounts of copper in undiscovered porphyry copper deposits by world region and for the globe. Data re reported by region, by aggregation method (randomized and sorted), and by selected statistics. These include quantiles, means, standard deviations, standard error of the mean , and Upper and Lower 95% of the mean. Categories: Data; Tags: Earth, copper, metallic mineral resources, natural resource assessment Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa: Discharge Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Categories: Data; Tags: British Columbia, Canada, Coal Mining, Elk River, Koocanusa Reservoir, All tags... Kootenai River, Kootenay Boundary, Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, Upper Kootenai, Water Quality, Fewer tags SPECPR files containing spectra and associated descriptions of samples and spectra (including linked photos) SPECPRsplib07 This compressed archive includes: Files, in SPECPR format, containing spectral data and associated metadata descriptions: measured spectra (splib07a) spectra interpolated to a higher number of more finely-spaced channels (splib07b) spectra convolved to other spectrometers, for example Analytical Spectral Devices standard resolution (s07_ASD) AVIRIS-Classic 2014 characteristics (s07_AV14) Hyperspectral Mapper (HyMap) 2014 characteristics (s07_HY14) and others spectra resampled to multispectral sensors: ASTER Landsat 8 OLI Sentinel-2 MSI Worldview-3 Folders containing information linked to from the metadata descriptions in the SPECPR files: README: contains a HTML version of the USGS Data... Types: Citation; Tags: AVIRIS, Africa, Asia, Australia, Europe, All tags... North America, South America, biota, chemical analysis, environment, geoscientificInformation, hyperspectral imaging, imageryBaseMapsEarthCover, imaging spectroscopy, infrared imaging, mineralogy, multispectral imaging, reflectance spectra, remote sensing, spectral analysis, spectroscopy, vegetation, visible light imaging, Fewer tags National Land Cover Database (NLCD) Forest Disturbance Science Product (ver. 2.0, June 2021) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) 2019 Accuracy Assessment Points Conterminous United States The National Land Cover Database (NLCD), a product suite produced through the Multi-resolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program. The release of NLCD2019 extends the database to 18 years. We collected land cover reference data for the 2016 and 2019 components of the NLCD2019 database at Level II and Level I of the classification hierarchy. For both dates, Level II land cover overall accuracies (OA) were 77.5% ± 1% (± value is the standard error) when agreement was defined as a match between the map label and primary reference label only and increased to 87.1% ± 0.7% when agreement was defined as a match between the map label and either the primary or alternate... Tags: Accuracy assessment, Land cover, Land cover change, NLCD, Reference data quality, All tags... U.S., US, United States, United States, imageryBaseMapsEarthCover, Fewer tags Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Forestry, Kings Canyon National Park, Sequoia National Park, Sierra Nevada, All tags... Sierra Nevada, USGS Science Data Catalog (SDC), biota, conifer forest, conifer forests ecosystems, droughts, forest ecosystems, remote sensing, remote sensing validation, tree mortality, Fewer tags Text files in HTML format describing samples and spectra, including photos HTMLmetadata Text files in HTML-format containing metadata about samples and spectra. Also included in the zip file are folders containing information linked to from the HTML files, including: README: contains a HTML version of the USGS Data Series publication, linked to this data release, that describes this spectral library (Kokaly and others, 2017). The folder also contains an HTML version of the release notes. photo_images: contains full resolution images of photos of samples and field sites. photo_thumbs: contains low-resolution thumbnail versions of photos of samples and field sites. GENERAL LIBRARY DESCRIPTION This data release provides the U.S. Geological Survey (USGS) Spectral Library Version 7 and... Types: Citation; Tags: AVIRIS, Africa, Asia, Australia, Europe, All tags... North America, South America, biota, chemical analysis, environment, geoscientificInformation, hyperspectral imaging, imageryBaseMapsEarthCover, imaging spectroscopy, infrared imaging, mineralogy, multispectral imaging, reflectance spectra, remote sensing, spectral analysis, spectroscopy, vegetation, visible light imaging, Fewer tags USGS Spectral Library Version 7 Data This data release provides the U.S. Geological Survey (USGS) Spectral Library Version 7 and all related documents. The library contains spectra measured with laboratory, field, and airborne spectrometers. The instruments used cover wavelengths from the ultraviolet to the far infrared (0.2 to 200 microns). Laboratory samples of specific minerals, plants, chemical compounds, and man-made materials were measured. In many cases, samples were purified, so that unique spectral features of a material can be related to its chemical structure. These spectro-chemical links are important for interpreting remotely sensed data collected in the field or from an aircraft or spacecraft. This library also contains physically-constructed... Types: Citation; Tags: AVIRIS, Africa, Asia, Australia, CGGSC, All tags... CMERSC, Central Minerals and Environmental Resources Science Center, Crustal Geophysics and Geochemistry Science Center, Europe, MRP, Mineral Resources Program, Mineralogy, North America, South America, USGS Science Data Catalog (SDC), biota, chemical analysis, environment, geoscientificInformation, hyperspectral imaging, imageryBaseMapsEarthCover, imaging spectroscopy, infrared imaging, mineralogy, multispectral imaging, reflectance spectra, remote sensing, spectral analysis, spectroscopy, vegetation, visible light imaging, Fewer tags National Land Cover Database (NLCD) All Land Cover Science Products (ver. 2.0, June 2021) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Central Valley Hydrologic Model version 2 (CVHM2): Observation Data (Groundwater Level, Streamflow, Subsidence) from 1916 to 2018 (ver. 2.1, September 2023) This digital dataset includes three sets of observational data (groundwater level, streamflow, subsidence) used to calibrate the updated Central Valley Hydrologic Model (CVHM2) Categories: Data Release - Revised; Tags: California, Central Valley, Observation, Streamflow, Subsidence, All tags... USGS Science Data Catalog (SDC), United States, Water Level, climatologyMeteorologyAtmosphere, environment, farming, geoscientificInformation, Fewer tags Daily total phosphorus concentrations calculated using the USGS Weighted Regression on Time, Discharge, and Season (WRTDS) This data release contains model inputs, outputs, and source code (written in R) for the calculation of daily total phosphorus (TP) concentrations at a sampling site operated by the Klamath Tribes (WR6000), which is located 5 miles downstream of USGS streamgage 11502500, Williamson River below Sprague River near Chiloquin, Oregon. Daily streamflow data from 11502500 were used to calibrate the model along with data provided for the Klamath Tribes for site WR6000. Daily TP concentrations were calculated from 1991-2019 using the USGS Weighted Regression on Time, Discharge, and Season (WRTDS) model. Calibration data are bi-weekly (every two weeks) TP concentrations collected at site WR6000 and analyzed by the Klamath... Categories: Data; Tags: Oregon, Williamson River, environment, hydrology, inlandWaters, All tags... surface water quality, Fewer tags National Land Cover Database (NLCD) 2021 Land Cover Products The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. The NLCD 2021 release is update based, so the Land Cover and Impervious Surface products released in... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags National Land Cover Database (NLCD) Land Cover Change Disturbance Science Product (ver. 2.0, June 2021) The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of... Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, NGDA, All tags... National Geospatial Data Asset, U.S., U.S. Geological Survey (USGS), US, United States, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags