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Open AccessArticle
Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum
by
Aline M. Valerio
Aline M. Valerio 1,2,*
,
Milton Kampel
Milton Kampel
Dr. Milton Kampel has a degree in Oceanography from the State University of Rio de Janeiro-UERJ in a [...]
Dr. Milton Kampel has a degree in Oceanography from the State University of Rio de Janeiro-UERJ in 1988; a Master’s degree in Remote Sensing from the National Institute for Space Research (INPE) in 1993; a PhD in Oceanography (Biological Oceanography) from the University of São Paulo-Institute Oceanographic-IOUSP in 2003; and Post-Doctorate at the Bedford Institute of Oceanography, Canada, in 2005. He is currently a Senior Researcher at the National Institute for Space Research, working in the General Coordination of Earth Observation (OBT). He was Head of the Remote Sensing Division between September 2008 and November 2013. He develops remote sensing applications, satellite data telemetry, and technology in Oceanography and the Environment, mainly on the following topics: ocean color, primary productivity, analysis of variability of phytoplankton biomass, monitoring of marine ecosystems, analysis of sea surface temperature fields, coastal management, mapping of mangroves and coral reefs, among others.
1
,
Vincent Vantrepotte
Vincent Vantrepotte 3,4,
Victoria Ballester
Victoria Ballester 2 and
Jeffrey Richey
Jeffrey Richey 5
1
Monitoring Oceans from Space Laboratory, Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos 12227-010, SP, Brazil
2
Center for Nuclear Energy in Agriculture, São Paulo University (CENA-USP), Piracicaba 13400-970, SP, Brazil
3
Institut de Recherche et Développement (IRD), Centre National de la Recherche Scientifique (CNRS), Université Lille, Université Littoral Côte d’Opale (ULCO), UMR 8187, Laboratoire d’Océanologie et de Géosciences (LOG), 59000 32 Avenue Foch, 62930 Wimereux, France
4
Tropical Atlantic Interdisciplinary Laboratory on Physical, Biogeochemical, Ecological and Human Dynamics (IJL TAPIOCA), Departamento de Oceanografia, Universidade Federal de Pernambuco, Avenida Arquitetura, S/N, Recife 50670-901, PE, Brazil
5
School of Oceanography, University of Washington (UW), Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(14), 2663; https://doi.org/10.3390/rs16142663 (registering DOI)
Submission received: 16 May 2024
/
Revised: 25 June 2024
/
Accepted: 12 July 2024
/
Published: 20 July 2024
Abstract
Water colour remote sensing is a valuable tool for assessing bio-optical and biogeochemical parameters across the vast extent of the Amazon River Continuum (ARC). However, accurate retrieval depends on selecting the best atmospheric correction (AC). Four AC processors (Acolite, Polymer, C2RCC, OC-SMART) were evaluated against in situ remote sensing reflectance () measurements. K-means classification identified four optical water types (OWTs) that are affected by the ARC. Two OWTs showed seasonal differences in the Lower Amazon River, influenced by the increase in suspended sediment concentration with river discharge. The other OWTs in the Amazon River Plume are dominated by phytoplankton or by a mixture of optically significant constituents. The Quality Water Index Polynomial method used to assess the quality of in situ and orbital had a high failure rate when the Apparent Visible Wavelength was >580 nm for in situ . OC-SMART products showed better spectral quality compared to derived from other AC processors evaluated in this study. These results improve our understanding of remotely sensing very turbid waters, such as those in the Amazon River Continuum.
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MDPI and ACS Style
Valerio, A.M.; Kampel, M.; Vantrepotte, V.; Ballester, V.; Richey, J.
Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum. Remote Sens. 2024, 16, 2663.
https://doi.org/10.3390/rs16142663
AMA Style
Valerio AM, Kampel M, Vantrepotte V, Ballester V, Richey J.
Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum. Remote Sensing. 2024; 16(14):2663.
https://doi.org/10.3390/rs16142663
Chicago/Turabian Style
Valerio, Aline M., Milton Kampel, Vincent Vantrepotte, Victoria Ballester, and Jeffrey Richey.
2024. "Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum" Remote Sensing 16, no. 14: 2663.
https://doi.org/10.3390/rs16142663
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