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  The Use of Sentinel-2 for Chlorophyll-a Spatial Dynamics Assessment: A Comparative Study on Different Lakes in Northern Germany

Ogashawara, I., Kiel, C., Jechow, A., Kohnert, K., Ruhtz, T., Grossart, H.-P., Hölker, F., Nejstgaard, J. C., Berger, S. A., Wollrab, S. (2021): The Use of Sentinel-2 for Chlorophyll-a Spatial Dynamics Assessment: A Comparative Study on Different Lakes in Northern Germany. - Remote Sensing, 13, 8, 1542.
https://doi.org/10.3390/rs13081542

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007298 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007298_1
Genre: Journal Article

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 Creators:
Ogashawara, Igor1, Author
Kiel, Christine1, Author
Jechow, Andreas2, Author              
Kohnert, Katrin2, Author              
Ruhtz, Thomas1, Author
Grossart, Hans-Peter1, Author
Hölker, Franz1, Author
Nejstgaard, Jens C.1, Author
Berger, Stella A.1, Author
Wollrab, Sabine1, Author
Affiliations:
1External Organizations, ou_persistent22              
21.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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Free keywords: water quality; algal pigments; atmospheric correction; river-lake system; Sentinel-2
 Abstract: Eutrophication of inland waters is an environmental issue that is becoming more common with climatic variability. Monitoring of this aquatic problem is commonly based on the chlorophyll-a concentration monitored by routine sampling with limited temporal and spatial coverage. Remote sensing data can be used to improve monitoring, especially after the launch of the MultiSpectral Instrument (MSI) on Sentinel-2. In this study, we compared the estimation of chlorophyll-a (chl-a) from different bio-optical algorithms using hyperspectral proximal remote sensing measurements, from simulated MSI responses and from an MSI image. For the satellite image, we also compare different atmospheric corrections routines before the comparison of different bio-optical algorithms. We used in situ data collected in 2019 from 97 sampling points across 19 different lakes. The atmospheric correction assessment showed that the performances of the routines varied for each spectral band. Therefore, we selected C2X, which performed best for bands 4 (root mean square error—RMSE = 0.003), 5 (RMSE = 0.004) and 6 (RMSE = 0.002), which are usually used for the estimation of chl-a. Considering all samples from the 19 lakes, the best performing chl-a algorithm and calibration achieved a RMSE of 16.97 mg/m3. When we consider only one lake chain composed of meso-to-eutrophic lakes, the performance improved (RMSE: 10.97 mg/m3). This shows that for the studied meso-to-eutrophic waters, we can reliably estimate chl-a concentration, whereas for oligotrophic waters, further research is needed. The assessment of chl-a from space allows us to assess spatial dynamics of the environment, which can be important for the management of water resources. However, to have an accurate product, similar optical water types are important for the overall performance of the bio-optical algorithm.

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Language(s): eng - English
 Dates: 2021-04-162021
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.3390/rs13081542
GFZPOF: p4 T5 Future Landscapes
OATYPE: Gold Open Access
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Title: Remote Sensing
Source Genre: Journal, SCI, Scopus, OA
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Pages: - Volume / Issue: 13 (8) Sequence Number: 1542 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals426
Publisher: MDPI