Turbidity model input and output data and associated imagery from May 2022 to November 2023 at Colorado River near Cameo, Colorado

Read full text
Authors: Natalie K. Day, Tyler V. King, Adam R. Mosbrucker
Cited by: 0

Abstract

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.

Publication details

Journal / source
USGS DOI Tool Production Environment
Publication date
5 January 2026
Document type
Dataset