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 Digital Object Identifier Catalog |
| USGS Organization | Volcano Science Center |