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Proceedings Paper

Assessment of chlorophyll-a concentration in the Gulf of Riga using hyperspectral airborne and simulated Sentinel-3 OLCI data
Author(s): Dainis Jakovels; Agris Brauns; Jevgenijs Filipovs; Juris Taskovs; Dagnija Fedorovicha; Birgot Paavel; Martin Ligi; Tiit Kutser
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Paper Abstract

Remote sensing has proved to be an accurate and reliable tool in clear water environments like oceans or the Mediterranean Sea. However, the current algorithms and methods usually fail on optically complex waters like coastal and inland waters. The whole Baltic Sea can be considered as optically complex coastal waters. Remote assessment of water quality parameters (eg., chlorophyll-a concentration) is of interest for monitoring of marine environment, but hasn’t been used as a routine approach in Latvia.

In this study, two simultaneous hyperspectral airborne data and in situ measurement campaigns were performed in the Gulf of Riga near the River Daugava mouth in summer 2015 to simulate Sentinel-3 data and test existing algorithms for retrieval of Level 2 Water products. Comparison of historical data showed poor overall correlation between in situ measurements and MERIS chlorophyll-a data products. Better correlation between spectral chl-a data products and in situ water sampling measurements was achieved during simultaneous airborne and field campaign resulting in R2 up to 0.94 for field spectral data, R2 of 0.78 for airborne data. Test of all two band ratio combinations showed that R2 could be improved from 0.63 to 0.94 for hyperspectral airborne data choosing 712 and 728 nm bands instead of 709 and 666 nm, and R2 could be improved from 0.61 to 0.83 for simulated Sentinel-3 OLCI data choosing Oa10 and Oa8 bands instead of Oa11 and Oa8.

Repeated campaigns are planned during spring and summer blooms 2016 in the Gulf of Riga to get larger data set for validation and evaluate repeatability. The main challenges remain to acquire as good data as possible within rapidly changing environment and often cloudy weather conditions.

Paper Details

Date Published: 12 August 2016
PDF: 10 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881G (12 August 2016); doi: 10.1117/12.2242859
Show Author Affiliations
Dainis Jakovels, Institute for Environmental Solutions (Latvia)
Agris Brauns, Institute for Environmental Solutions (Latvia)
Jevgenijs Filipovs, Institute for Environmental Solutions (Latvia)
Juris Taskovs, Institute for Environmental Solutions (Latvia)
Dagnija Fedorovicha, Latvian Institute of Aquatic Ecology (Latvia)
Birgot Paavel, Univ. of Tartu (Estonia)
Martin Ligi, Tartu Observatory (Estonia)
Tiit Kutser, Univ. of Tartu (Estonia)


Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)

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