First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery
Estonian University of Life Sciences · University of Tartu
Abstract
The importance of lakes and reservoirs leads to the high need for monitoring lake water quality both at local and global scales. The aim of the study was to test suitability of Sentinel-2 Multispectral Imager’s (MSI) data for mapping different lake water quality parameters. In situ data of chlorophyll a (Chl a), water color, colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) from nine small and two large lakes were compared with band ratio algorithms derived from Sentinel-2 Level-1C and atmospherically corrected (Sen2cor) Level-2A images. The height of the 705 nm peak was used for estimating Chl a. The suitability of the commonly used green to red band ratio was tested for estimating…
Citation impact
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- 35.71
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- 100%
- References
- 51
Authors
6Topics & keywords
- Colored dissolved organic matter
- Atmospheric correction
- Environmental science
- Dissolved organic carbon
- Multispectral image
- Water quality
- Ocean color
- Remote sensing
- Clean water and sanitation