SedCam Model Calibration Imagery Acquired June 2020 to September 2021 at East Branch Brandywine Creek (USGS 01480870)
December 13, 2022
Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS 01480870). The image files included here are a subset, used in the calibration dataset for these regression models. Models relate the explanatory variable, Rmax (maximum digital number of the red band, which peaks at a wavelength of 590 nanometers) to point and cross-sectional mean sample response variables (milligrams per liter). These regression models predict suspended-sediment concentration from a non-contact sediment surrogate technique to improve surface water monitoring operations. Files include Nikon Electronic Format (.NEF) raw files, Adobe Photoshop sidecar (.xmp) files, and post-processed (.tif) files for ten frames.
Citation Information
Publication Year | 2022 |
---|---|
Title | SedCam Model Calibration Imagery Acquired June 2020 to September 2021 at East Branch Brandywine Creek (USGS 01480870) |
DOI | 10.5066/P9CN4UW6 |
Authors | Adam Mosbrucker, Matthew C Gyves, Leif E Olson |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | USGS Volcano Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Adam R. Mosbrucker
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Matthew C Gyves
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NGWOS Hydrologic Instrumentation R&D Project Manager
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Adam R. Mosbrucker
Geologist
Geologist
Lidar Coordinator
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Email
Phone
Matthew C Gyves
Physical Scientist
Physical Scientist
NGWOS Hydrologic Instrumentation R&D Project Manager
NGWOS Hydrologic Instrumentation R&D Project Manager
Email
Phone