期刊论文详细信息
PeerJ
Comparison of iCOR and Rayleigh atmospheric correction methods on Sentinel-3 OLCI images for a shallow eutrophic reservoir
article
Stefanos Katsoulis-Dimitriou1  Marios Lefkaditis1  Sotirios Barmpagiannakos1  Konstantinos A. Kormas1  Aris Kyparissis2 
[1] Department of Agriculture Ichthyology & Aquatic Environment, University of Thessaly;Department of Agriculture Crop Production and Rural Environment, University of Thessaly
关键词: iCOR;    Rayleigh;    Atmospheric correction;    Eutrophic reservoir;    Satellite;    Sentinel-3 OLCI;   
DOI  :  10.7717/peerj.14311
学科分类:社会科学、人文和艺术(综合)
来源: Inra
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【 摘 要 】

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 (r 0.73) and the CHL and CI indices values (r 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 in situ chlorophyll and cyanobacteria measurements will enhance the applicability of the methodology.

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