Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3 Article Swipe
Tuuli Soomets
,
Kristi Uudeberg
,
Dainis Jakovels
,
Matīss Žagars
,
Anu Reinart
,
Agris Brauns
,
Tiit Kutser
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/rs11232883
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/rs11232883
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.
Related Topics
Concepts
Environmental science
Multispectral image
Remote sensing
Colored dissolved organic matter
Phytoplankton
Water quality
Hydrology (agriculture)
Oceanography
Geology
Ecology
Nutrient
Geotechnical engineering
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs11232883
- https://www.mdpi.com/2072-4292/11/23/2883/pdf?version=1575458743
- OA Status
- gold
- Cited By
- 27
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2992498399
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2992498399Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/rs11232883Digital Object Identifier
- Title
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Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-03Full publication date if available
- Authors
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Tuuli Soomets, Kristi Uudeberg, Dainis Jakovels, Matīss Žagars, Anu Reinart, Agris Brauns, Tiit KutserList of authors in order
- Landing page
-
https://doi.org/10.3390/rs11232883Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-4292/11/23/2883/pdf?version=1575458743Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2072-4292/11/23/2883/pdf?version=1575458743Direct OA link when available
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Environmental science, Multispectral image, Remote sensing, Colored dissolved organic matter, Phytoplankton, Water quality, Hydrology (agriculture), Oceanography, Geology, Ecology, Nutrient, Geotechnical engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
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27Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 4, 2023: 2, 2022: 3, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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