Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017

Metadata Updated: November 12, 2020

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 data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands from 380-1050 nm. Although a large mosaic assembled from parallel, north-south strips covering a larger portion of the Kootenai River valley was collected as part of this project, this data release includes only a series of smaller subsets of this mosaic that focus on six sites where field measurements of water depth were collected with a multibeam echo sounder. The original images also were spectrally subset to 35 bands from 400 - 900 nm. The image data were radiometrically calibrated to spectral radiance units of μW cm-2 sr-1 nm-1 and formatted with 16-bit integers in a BIP intertleave. The resulting .dat and assocaited .hdr files are compatible with the ENVI software package. Overall, the images and related field data were used to develop, refine, and test techniques for estimating water depth from passive optical image data to support studies of in-stream habitat and geomorphic change and to facilitate various river management applications.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date November 21, 2018
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2019 (publication)
Frequency Of Update notPlanned

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Date November 21, 2018
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2019 (publication)
Responsible Party U.S. Geological Survey Geomorphology and Sediment Transport Laboratory (Point of Contact)
Contact Email
Guid
Access Constraints Use Constraints: none, Access Constraints: none
Bbox East Long -116.35070800754
Bbox North Lat 48.868040444403
Bbox South Lat 48.75952165167
Bbox West Long -116.42211914035
Coupled Resource
Frequency Of Update notPlanned
Licence Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data you have secured from the U.S. Geological Survey (USGS) database identified as "Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017" have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True

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