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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2024-08-01
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| Series: | River |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/rvr2.97 |
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