Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017
Dates
Acquisition
2017-09-14
Publication Date
2019-04-17
Citation
Legleiter, C.J., and Harrison, L.R., 2019, Airborne hyperspectral image data from the upper Sacramento River in northern California, September 14, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7Q52NZ1.
Summary
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 48 spectral bands spanning [...]
Summary
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 48 spectral bands spanning the visible and near infrared wavelength range from 0.373 - 1.043 micrometers. Atmospheric correction and reflectance retrieval were performed by QSI using the ATCOR4 software package. The image pixel values represent reflectance with a scale factor of 10,000 and are stored as 16-bit signed integers. The image data file has a band sequential (BSQ) interleave and is in an ENVI-compatible *.bsq file format with an associated header (*.hdr) text file. The image provided in this data release is a subset focused 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.
SacCasiMetadata.xml “Metadata describing the image data and the processes by which it was produced” Original FGDC Metadata
View
13.83 KB
application/fgdc+xml
SacramentoAirborneHyperspectralImage.csv “Basic information about the image”
207 Bytes
text/csv
SacCasiFootprint.zip “Shapefile with image footprint”
1.7 KB
application/zip
Upper_Sacramento_River_CASI_48b_WGS84_UTM10N_0pt5mXY_Tile_113.hdr “ENVI header file with information about the .bsq image file”
2.58 KB
text/plain
SacCasiThumbnail.jpg “Hyperspectral image and image-derived bathymetry of the Sacramento River”
4.71 MB
image/jpeg
“ENVI format image data file”
1.43 GB
application/unknown
Upper_Sacramento_River_Topobathymetric_LiDAR_Hyperspectral_Imagery_Report - signed.pdf “Upper Sacramento R. Hyperspectral Imagery Technical Data Report”
6.54 MB
application/pdf
Shapefile:
SacCasiFootprint.zip
SacCasiFootprint.cpg “Shapefile with image footprint”
5 Bytes
SacCasiFootprint.dbf “Shapefile with image footprint”
155 Bytes
SacCasiFootprint.prj “Shapefile with image footprint”
403 Bytes
SacCasiFootprint.sbn “Shapefile with image footprint”
132 Bytes
SacCasiFootprint.sbx “Shapefile with image footprint”
116 Bytes
SacCasiFootprint.shp “Shapefile with image footprint”
236 Bytes
SacCasiFootprint.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
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.
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
Hyperspectral image and image-derived bathymetry of the Sacramento River