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Towards the Combination of C2RCC Processors for Improving Water Quality Retrieval in Inland and Coastal Areas

Authors :
Jesús Soriano-González
Esther Patricia Urrego
Xavier Sòria-Perpinyà
Eduard Angelats
Carles Alcaraz
Jesús Delegido
Antonio Ruíz-Verdú
Carolina Tenjo
Eduardo Vicente
José Moreno
Source :
Remote Sensing, Vol 14, Iss 5, p 1124 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Sentinel-2 offers great potential for monitoring water quality in inland and coastal waters. However, atmospheric correction in these waters is challenging, and there is no standardized approach yet, but different methods coexist under constant development. The atmospheric correction Case 2 Regional Coast Colour (C2RCC) processor has been recently updated with the C2X-COMPLEX (C2XC). This study is one of the first attempts at exploring its performance, in comparison with C2RCC and C2X, in inland and coastal waters in the east of the Iberian Peninsula, in retrieving water surface reflectance and estimating chlorophyll-a ([Chl-a]), total suspended matter ([TSM]), and Secchi disk depth (ZSD). The relationship between in situ ZSD and Kd_z90max product (i.e., the depth of the water column from which 90% of the water-leaving irradiance is derived) of the C2RCC processors demonstrated the potential of this product for estimating water clarity (r > 0.75). However, [TSM] and [Chl-a] derived from the different processors with default calibration factors were not suitable within the targeted scenarios, requiring recalibration based on optical water types or a shift to dynamic algorithm blending approaches. This would benefit from switching between C2RCC and C2XC, which extends the potential for improving surface reflectance estimates to a wide range of scenarios and suggests a promising future for C2-Nets in operational monitoring of water quality.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f5a0cc20f2014f63a908a5f8e3ae0cd6
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14051124