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To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric...
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The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19–21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology, v. 554, p. 490-506, https://doi.org/10.1016/j.jhydrol.2017.09.004.
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Hyperspectral image data from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, were acquired in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The data were acquired from fixed wing aircraft and have spatial resolutions (pixel sizes) from 0.5 - 0.6 m. The data consist of a large number of spectral bands spanning the visible and near infrared wavelengths and have been radiometrically corrected. The image pixel values represent spectral radiance units of 1 uW cm-2...
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Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric...
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Hyperspectral image data from the Deschutes River near Bend, OR, were acquired on July 26, 2016 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize habitat for amphibians, primarily the Oregon Spotted Frog (Rana pretiosa). These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. The contractor Quantum Spatial Inc. conducted the flight and ITRES performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) from 0.5 m. The data set consists of 42 spectral bands spanning the visible...
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Multispectral satellite image data from the upper Sacramento River in northern California were acquired on October 18, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the WorldView-3 (WV3) satellite, operated by DigitalGlobe and obtained through the EnhancedView license program administered by the National Geospatial-Intelligence Agency (NGA); the image data remain copyright of DigitalGlobe (2018). DigitalGlobe performed initial radiometric and geometric processing of the image. The data were acquired from the WorldView-3...
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An unmanned aerial system was used to acquire hyperspectral image data from the upper Sacramento River in northern California on September 13, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Nano-Hyperspec imaging system, manufactured by Headwall Photonics, Inc. The flight was conducted by Headwall Photonics, Inc.; Headwall also performed the initial radiometric and geometric data processing. The data were acquired from a DJI Matrice M600 UAS and have a spatial resolution (pixel size) of 0.178 m. The data set consists...
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Airborne hyperspectral image data from the upper Sacramento River in northern California were acquired on September 14, 2017 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H, manufactured by ITRES Research Limited. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) of 0.5 m. The data set consists of...
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Hyperspectral image data from the Snake River in Grand Teton National Park, WY, were acquired on August 23, 2015 to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to augment an image time series for characterizing channel change along the Snake River. These data were collected by the Compact Airborne Spectrographic Imager (CASI) 1500H manufactured by ITRES Research Limited. ITRES also conducted the flight and performed the initial radiometric and geometric data processing. The data were acquired from fixed wing aircraft and have a spatial resolution (pixel sizes) of 0.5 m. The data set consists of 48 spectral bands spanning the visible and near infrared...
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The CoRE (Contractions or Range Expansions) database contains a library of published literature and data on species range shifts in response to climate change. Through a systematic review of publications returned from searches on Google Scholar, Web of Science, and Scopus, we selected primary research articles that documented or attempted to document species-level distribution shifts in animal or plant species in response to recent anthropogenic climate change. We extracted data in four broad categories: (i) basic study information (study duration, location, data quality and methodological factors); (ii) basic species information (scientific names and taxonomic groups); (iii) information on the observed range shifts...
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A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística y Geografía), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Cooperation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries for download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography,...
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Field measurements of water depth were collected from the Niobrara River, a dynamic, sand-bed channel in northern Nebraska, in November 2012 and again in August 2016 to support research on remote sensing of rivers, particularly retrieval of water depth and tracking of mobile bedforms. These data were obtained by conducting topographic surveys with Trimble R8 and R10 RTK GPS receivers with a local base station and also by measuring depths with a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP). The data are provided in a series of tables saved as *.csv files. All tables include, at a minimum, easting and northing spatial coordinates and depths; other attributes in some of the tables include descriptive...
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The U.S. Geological Survey collected field spectra collected from the Niobrara River in Nebraska August 15–18, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made by wading the Niobrara River near Norden Notch using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release.
    map background search result map search result map North America Bathymetry Field spectra from rivers in Alaska, September 19–21, 2016 Field spectra from the Niobrara River, Nebraska, August 15-18, 2016 Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016 Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 Hyperspectral image data from the Snake River in Grand Teton National Park, WY, August 23, 2015 Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016 Hyperspectral image data from the Snake River in Grand Teton National Park, WY, August 23, 2015 Hyperspectral image data from the Deschutes River near Bend, OR, July 26, 2016 UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Field spectra from rivers in Alaska, September 19–21, 2016 North America Bathymetry