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.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Natalie Day",
"@type": "vcard:Contact",
"hasEmail": "mailto:nkday@usgs.gov"
}
|
| description | 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. |
| distribution |
[
{
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"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P14PIAUG",
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"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.67e6ee2bd34ee3695ea1d8c2.xml"
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_67e6ee2bd34ee3695ea1d8c2 |
| keyword |
[
"USGS:67e6ee2bd34ee3695ea1d8c2",
"hydrology",
"photogrammetry",
"remote sensing",
"turbidity"
]
|
| modified | 2026-02-19T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -108.268890, 39.236741, -108.260050, 39.241893 |
| theme |
[
"geospatial"
]
|
| title | Turbidity model input and output data and associated imagery from May 2022 to November 2023 at Colorado River near Cameo, Colorado |
