Monitoring water quality in the lower Kansas River using remote sensing

Abstract We demonstrate how to combine remote sensing data from satellite imagery (Sentinel‐2) with in situ water quality gauging (USGS Super Gages and the Gybe hyperspectral radiometer) to create spatially dense maps of water quality parameters (chlorophyll‐a concentration, turbidity, and nitrate p...

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Bibliographic Details
Main Authors: Nicholas Tufillaro, Philipp Grötsch, Ivan Lalović, Sara De Moitié, Luke Zeitlin, Omar Zurita
Format: Article
Language:English
Published: Wiley-VCH 2024-08-01
Series:River
Subjects:
Online Access:https://doi.org/10.1002/rvr2.97
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