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Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3
Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3
- Source :
- Remote Sensing; Volume 11; Issue 23; Pages: 2883, Remote Sensing
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Inland waters play a critical role in our drinking water supply. Additionally, they are important providers of food and recreation possibilities. Inland waters are known to be optically complex and more diverse than marine or ocean waters. The optical properties of natural waters are influenced by three different and independent sources: phytoplankton, suspended matter, and colored dissolved organic matter. Thus, the remote sensing of these waters is more challenging. Different types of waters need different approaches to obtain correct water quality products; therefore, the first step in remote sensing of lakes should be the classification of the water types. The classification of optical water types (OWTs) is based on the differences in the reflectance spectra of the lake water. This classification groups lake and coastal waters into five optical classes: Clear, Moderate, Turbid, Very Turbid, and Brown. We studied the OWTs in three different Latvian lakes: Burtnieks, Lubans, and Razna, and in a large Estonian lake, Lake Võrtsjärv. The primary goal of this study was a comparison of two different Copernicus optical instrument data for optical classification in lakes: Ocean and Land Color Instrument (OLCI) on Sentinel-3 and Multispectral Instrument (MSI) on Sentinel-2. We found that both satellite OWT classifications in lakes were comparable (R2 = 0.74). We were also able to study the spatial and temporal changes in the OWTs of the study lakes during 2017. The comparison between two satellites was carried out to understand if the classification of the OWTs with both satellites is compatible. Our results could give us not only a better overview of the changes in the lake water by studying the temporal and spatial variability of the OWTs, but also possibly better retrieval of Level 2 satellite products when using OWT guided approach.
- Subjects :
- 010504 meteorology & atmospheric sciences
business.industry
Multispectral image
0211 other engineering and technologies
Water supply
02 engineering and technology
01 natural sciences
6. Clean water
Colored dissolved organic matter
Oceanography
13. Climate action
Remote sensing (archaeology)
Phytoplankton
General Earth and Planetary Sciences
Environmental science
Spatial variability
Satellite
14. Life underwater
Water quality
business
021101 geological & geomatics engineering
0105 earth and related environmental sciences
optical water type
lakes
optically complex waters
remote sensing
Sentinel-2
Sentinel-3
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing; Volume 11; Issue 23; Pages: 2883
- Accession number :
- edsair.doi.dedup.....339681875a1e6dccdc013fae62ff6532
- Full Text :
- https://doi.org/10.3390/rs11232883