UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017
Dates
Acquisition
2017-09-13
Publication Date
2019-04-17
Citation
Legleiter, C.J., and Harrison, L.R., 2019, UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7Q52NZ1.
Summary
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 of 276 spectral [...]
Summary
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 of 276 spectral bands spanning the visible and near infrared wavelength range from 396.025 - 1005.09 nanometers. Reflectance retrieval was performed by Headwall using their SpectralView software package. The image pixel values represent reflectances and are stored as floating point 32-bit single precision numbers. The image data file has a band sequential (BSQ) interleave and is in an ENVI-compatible file format with an associated header (*.hdr) text file. The image provided in this data release is focuses on the reach of the Sacramento River where it is joined by its tributary Cottonwood Creek. Supporting field data from this reach were collected in coordination with the acquisition of the remotely sensed data.
Click on title to download individual files attached to this item.
SacNanoMetadata.xml “Metadata describing the image data and the processes by which it was produced” Original FGDC Metadata
View
13.42 KB
application/fgdc+xml
North_Main_rd_rf_multi_or.hdr “ENVI header file with information about the image file”
4.57 KB
text/plain
SacNanoFootprint.zip “Shapefile with image footprint”
2.02 KB
application/zip
SacNanoThumbnail.jpg “UAS-based hyperspectral image of the Sacramento River”
1.47 MB
image/jpeg
SacramentoUAS_HyperspectralImage.csv “Basic information about the image”
187 Bytes
text/csv
Shapefile:
SacNanoFootprint.zip
SacNanoFootprint.cpg “Shapefile with image footprint”
5 Bytes
SacNanoFootprint.dbf “Shapefile with image footprint”
73 Bytes
SacNanoFootprint.prj “Shapefile with image footprint”
403 Bytes
SacNanoFootprint.sbn “Shapefile with image footprint”
132 Bytes
SacNanoFootprint.sbx “Shapefile with image footprint”
116 Bytes
SacNanoFootprint.shp “Shapefile with image footprint”
588 Bytes
SacNanoFootprint.shx “Shapefile with image footprint”
108 Bytes
Related External Resources
Type: Related Primary Publication
Legleiter, C. J., & Harrison, L. R. ( 2019). Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA. Water Resources Research, 55, 2142– 2169. https://doi.org/10.1029/2018WR023586
For questions concerning this data set, please contact:
Dr. Carl J. Legleiter - cjl@usgs.gov, 303-271-3651
Geomorphology and Sediment Transport Laboratory
United States Geological Survey
4620 Technology Drive, Suite #400
Golden, CO 80403
Purpose
UAS-based hyperspectral image data from the upper Sacramento River in northern California were acquired 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.
Rights
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Preview Image
UAS-based hyperspectral image of the Sacramento River