Comparison of iCOR and Rayleigh atmospheric correction methods on Sentinel-3 OLCI images for a shallow eutrophic reservoir

Comparison of iCOR and Rayleigh atmospheric correction methods on Sentinel-3 OLCI images for a shallow eutrophic reservoir

Remote sensing of inland waters is challenging, but also important, due to the need to monitor the ever-increasing harmful algal blooms (HABs), which have serious effects on water quality. The Ocean and Land Color Instrument (OLCI) of the Sentinel-3 satellites program is capable of providing images...

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Bibliographic Details
Published in:PeerJ (San Francisco, CA) Vol. 10; p. e14311
Main Authors: Katsoulis-Dimitriou, Stefanos, Lefkaditis, Marios, Barmpagiannakos, Sotirios, Kormas, Konstantinos A, Kyparissis, Aris
Format: Journal Article
Language:English
Published: United States PeerJ. Ltd 04-11-2022
PeerJ, Inc
PeerJ Inc
Subjects:
Aerosols
Algae
Algal blooms
Atmospheric correction
Chlorophyll
Climate change
Ecohydrology
Ecology
Ecosystem Science
Eutrophic environments
Eutrophic reservoir
Eutrophication
Freshwater Biology
Gas absorption
Harmful Algal Bloom
iCOR
Image processing
Inland waters
Invertebrates
Meteorological satellites
Methods
Rayleigh
Reflectance
Remote sensing
Satellite
Sentinel-3 OLCI
Software
Spatial and Geographic Information Science
Time Factors
Water Quality
Sentinel-3 OLCI
Satellite
Atmospheric correction
iCOR
Eutrophic reservoir
Rayleigh
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Summary:Remote sensing of inland waters is challenging, but also important, due to the need to monitor the ever-increasing harmful algal blooms (HABs), which have serious effects on water quality. The Ocean and Land Color Instrument (OLCI) of the Sentinel-3 satellites program is capable of providing images for the monitoring of such waters. Atmospheric correction is a necessary process in order to retrieve the desired surface-leaving radiance signal and several atmospheric correction methods have been developed through the years. However, many of these correction methods require programming language skills, or function as commercial software plugins, limiting their possibility of use by end users. Accordingly, in this study, the free SNAP software provided by the European Space Agency (ESA) was used to evaluate the possible differences between a partial atmospheric correction method accounting for Rayleigh scattering and a full atmospheric correction method (iCOR), applied on Sentinel-3 OLCI images of a shallow, highly eutrophic water reservoir. For the complete evaluation of the two methods, in addition to the comparison of the band reflectance values, chlorophyll (CHL) and cyanobacteria (CI) indices were also calculated and their values were intercompared. The results showed, that although the absolute values between the two correction methods did not coincide, there was a very good correlation between the two methods for both bands' reflectance (  > 0.73) and the CHL and CI indices values (  > 0.95). Therefore, since iCOR correction image processing time is 25 times longer than Rayleigh correction, it is proposed that the Rayleigh partial correction method may be alternatively used for seasonal water monitoring, especially in cases of long time-series, enhancing time and resources use efficiency. Further comparisons of the two methods in other inland water bodies and evaluation with chlorophyll and cyanobacteria measurements will enhance the applicability of the methodology.
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ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.14311