Comparison of correction methods for bidirectional effects in ocean colour remote sensing

Several methods were developed in Ocean Colour remote sensing over the last 25 years to model the anisotropy of the upwelling radiant field with respect to observation and solar-illumination geometries, also denoted as bidirectional reflectance distribution function (BRDF). These methods are necessary to produce normalized, or “BRDF-corrected,” marine reflectance representative of the seawater's inherent optical properties (IOPs) independently of the measurement conditions. Each scheme relies on specific modeling assumptions and implementation solutions, which can lead to different results depending on the actual combination of the seawater IOPs with the illumination and viewing geometry. The first aim of this study is to analyze the principles and methods of the reference BRDF schemes presented by Morel et al. (denoted as M02), Park and Ruddick (P05), Lee et al. (L11), He et al. (H17), and Twardowski and Tonizzo (T18). Acknowledging the direct applicability of M02, P05, and L11, their performance has been verified under a variety of conditions, including in situ measurements, matchup observations, and space-borne images. Comparisons between non-corrected and normalized data clearly confirm the need to account for the BRDF effect. In particular, the analysis of the results indicates 1) a substantial equivalence of M02, P05, and L11 in clear waters and 2) the tendency to obtain better results with M02 and L11 as the optical complexity increases. Although M02 was conceived for Case 1 waters, the underlying Chlorophyll- a overestimation tendency in some optically complex conditions is likely the reason for its extended applicability. Since L11 is based on a more comprehensive and flexible framework for all water types, the design of this method is suggested for revisions and BRDF correction improvements. • The correction of BRDF effects to enhance the quality of ocean colour data products. • Methods overview and performance analysis of existing BRDF corrections scheme. • Discussion of results accounting for different optical regimes. • Identification of distinguished features and limiting factors in existing methods. • Requirements for a new BRDF correction.

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Publication Details

Journal
Remote Sensing of Environment
Published
2025-02-20
DOI
https://doi.org/10.1016/j.rse.2025.114606
Citations
8
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
14.35
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article

Comparison of correction methods for bidirectional effects in ocean colour remote sensing

Alberto Tonizzo, Juan Ignacio Gossn, Ewa Kwiatkowska, David Dessailly et al.
8 citations
Remote Sensing of Environment
Marine and coastal ecosystems
14.35
article

Comparison of correction methods for bidirectional effects in ocean colour remote sensing

Alberto Tonizzo, Juan Ignacio Gossn, Ewa Kwiatkowska, David Dessailly, Tamito Kajiyama, Jaime Pitarch, Constant Mazeran, Marco Talone, Vittorio Brando, Davide D’Alimonte, K. Srinivas, Michael Twardowski
article en
8 citations

Abstract

Several methods were developed in Ocean Colour remote sensing over the last 25 years to model the anisotropy of the upwelling radiant field with respect to observation and solar-illumination geometries, also denoted as bidirectional reflectance distribution function (BRDF). These methods are necessary to produce normalized, or “BRDF-corrected,” marine reflectance representative of the seawater's inherent optical properties (IOPs) independently of the measurement conditions. Each scheme relies on specific modeling assumptions and implementation solutions, which can lead to different results depending on the actual combination of the seawater IOPs with the illumination and viewing geometry. The first aim of this study is to analyze the principles and methods of the reference BRDF schemes presented by Morel et al. (denoted as M02), Park and Ruddick (P05), Lee et al. (L11), He et al. (H17), and Twardowski and Tonizzo (T18). Acknowledging the direct applicability of M02, P05, and L11, their performance has been verified under a variety of conditions, including in situ measurements, matchup observations, and space-borne images. Comparisons between non-corrected and normalized data clearly confirm the need to account for the BRDF effect. In particular, the analysis of the results indicates 1) a substantial equivalence of M02, P05, and L11 in clear waters and 2) the tendency to obtain better results with M02 and L11 as the optical complexity increases. Although M02 was conceived for Case 1 waters, the underlying Chlorophyll- a overestimation tendency in some optically complex conditions is likely the reason for its extended applicability. Since L11 is based on a more comprehensive and flexible framework for all water types, the design of this method is suggested for revisions and BRDF correction improvements. • The correction of BRDF effects to enhance the quality of ocean colour data products. • Methods overview and performance analysis of existing BRDF corrections scheme. • Discussion of results accounting for different optical regimes. • Identification of distinguished features and limiting factors in existing methods. • Requirements for a new BRDF correction.

Remote Sensing of EnvironmentVol. 321
Consejo Superior de Investigaciones Científicas (ES), University of Lisbon (PT), Everglades University (US), Boca Raton Regional Hospital (US), European Organisation for the Exploitation of Meteorological Satellites (DE), Orthopaedic Center of Vero Beach (US), Centre Procédés, Energies Renouvelables et Systèmes Energétiques (FR), Bologna Research Area (IT), Institut de Ciències del Mar (ES), Institut de Biologia Molecular de Barcelona (ES)
Life below water
Openalex Percentile: Top 1%
Marine and coastal ecosystems
14.35
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