Shallow Water Bathymetry Retrieval Using a Band-Optimization Iterative Approach: Application to New Caledonia Coral Reef Lagoons Using Sentinel-2 Data
| Type | Article | ||||||||||||
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| Date | 2021-10 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Amrari Selim1, Bourassin Emmanuel 1, Andrefouet Serge2, Soulard Benoit1, Lemonnier Hugues1, Le Gendre Romain1 |
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| Affiliation(s) | 1 : Institut Français de Recherche pour l’Exploitation de la MER, UMR 9220 ENTROPIE (Institut de Recherche pour le Développement, Université de la Réunion, IFREMER, Centre National de la Recherche Scientifique, Université de la Nouvelle-Calédonie), BP 32078, 98848 Nouméa, New Caledonia, France 2 : Institut de Recherche pour le Développement, UMR 9220 ENTROPIE (IRD, IFREMER, Université de la Réunion, Centre National de la Recherche Scientifique, Université de la Nouvelle-Calédonie), BP A5, 98848 Nouméa, New Caledonia, France |
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| Source | Remote Sensing (2072-4292) (MDPI), 2021-10 , Vol. 13 , N. 20 , P. 4108 (20p.) | ||||||||||||
| DOI | 10.3390/rs13204108 | ||||||||||||
| WOS© Times Cited | 8 | ||||||||||||
| Note | This article belongs to the Special Issue Remote Sensing of the Aquatic Environments-Part I | ||||||||||||
| Keyword(s) | satellite derived bathymetry, rugose lagoon, adaptive iterative model, band ratio, UNESCO World Heritage Area, multispectral image | ||||||||||||
| Abstract | To achieve high accuracy bathymetry retrieval using remote sensing images with robust performance in a 0 to 25 m-deep lagoon with sharp bottom depth variations, a new Iterative Multiple Band Ratio (IMBR) algorithm is tested against known Multiple Band Ratio (MBR) and Single Band Ratio (SBR) algorithms. The test was conducted using the five multispectral bands, at 10 to 60 m resolution, of a Sentinel-2 image of the 25 km2 Poe lagoon, a UNESCO World Heritage Area. The IMBR approach requires training datasets for the definitions of depth threshold at which optimal band ratios vary. IMBR achieved accuracy, quantified with an original block cross-validation procedure across the entire depth range reached a mean absolute error of 46.0 cm. It compares very favorably against MBR (78.3 cm) and the various SBR results (188–254 cm). The method is suitable for generalization to other sites pending a minimal ground-truth dataset crossing all the depth range being available. We stress that different users may need different precisions and can use MBR or SBR algorithms for their applications. For the hydrodynamic modelling applications that are developing in New Caledonia, the IMBR solutions applied to Sentinel imagery are optimal. |
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