Turbidity model input and output data and associated imagery from May 2022 to November 2023 at Colorado River near Cameo, Colorado
Regression models were developed with reflectance values from remote-sensing imagery and concurrent turbidity measurements during a 2 year period at Colorado River near Cameo, Colorado streamgage (U.S. Geological Survey station number 09095500). Three types of remote sensing systems were tested including satellite- and ground-based sensors. Models relate the explanatory variables, reflectance values from different spectral bands (wavelength), to instantaneous turbidity values (Formazin Nephelometric Units, FNU). These regression models can predict turbidity concentrations using a non-contact turbidity surrogate technique to help improve surface water monitoring operations. Regressions are also performed to evaluate the atmospheric correction routine of Sentinel-2 imagery. Files include post processed (.tif) imagery files and (.csv) files with calculated reflectance values, measured turbidity values, and predicted turbidity values.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | Turbidity model input and output data and associated imagery from May 2022 to November 2023 at Colorado River near Cameo, Colorado |
| DOI | 10.5066/P14PIAUG |
| Authors | Natalie K Day, Tyler V King, Adam Mosbrucker |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Colorado Water Science Center - Main Office |
| Rights | This work is marked with CC0 1.0 Universal |