Ocean color atmospheric correction methods in view of usability for different optical water types

Frontiers in Marine Science

Marine Science

Dagmar Müller¹  Carole Lebreton¹  Kerstin Stelzer¹  Carsten Brockmann¹  Daniel Behr²  Martin Hieronymi²  Shun Bi²  Eike M. Schütt³  François Steinmetz⁴  Quinten Vanhellemont⁵ 

[1] Brockmann Consult GmbH, Hamburg, Germany;Department of Optical Oceanography, Institute of Carbon Cycles, Helmholtz-Zentrum Hereon, Geesthacht, Germany;Department of Optical Oceanography, Institute of Carbon Cycles, Helmholtz-Zentrum Hereon, Geesthacht, Germany;Earth Observation and Modelling, Department of Geography, Kiel University, Kiel, Germany;HYGEOS, Lille, France;Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environments, Brussels, Belgium;

关键词: atmospheric correction;    ocean color;    optical water types;    satellite remote sensing;    essential climate variable;    Sentinel-3/OLCI;   

DOI  :  10.3389/fmars.2023.1129876

 received in 2022-12-22, accepted in 2023-06-22,  发布年份 2023

来源: Frontiers

【 摘 要 】

Satellite remote sensing allows large-scale global observations of aquatic ecosystems and matter fluxes from the source through rivers and lakes to coasts, marginal seas into the open ocean. Fuzzy logic classification of optical water types (OWT) is increasingly used to optimally determine water properties and enable seamless transitions between water types. However, effective exploitation of this method requires a successful atmospheric correction (AC) over the entire spectral range, i.e., the upstream AC is suitable for each water type and always delivers classifiable remote-sensing reflectances. In this study, we compare five different AC methods for Sentinel-3/OLCI ocean color imagery, namely IPF, C2RCC, A4O, POLYMER, and ACOLITE-DSF (all in the 2022 current version). We evaluate their results, i.e., remote-sensing reflectance, in terms of spatial exploitability, individual flagging, spectral plausibility compared to in situ data, and OWT classifiability with four different classification schemes. Especially the results of A4O show that it is beneficial if the performance spectrum of the atmospheric correction is tailored to an OWT system and vice versa. The study gives hints on how to improve AC performance, e.g., with respect to homogeneity and flagging, but also how an OWT classification system should be designed for global deployment.

【 授权许可】

Unknown   
Copyright © 2023 Hieronymi, Bi, Müller, Schütt, Behr, Brockmann, Lebreton, Steinmetz, Stelzer and Vanhellemont