Publications des scientifiques de l'IRD

Le Quilleuc A., Collin A., Jasinski M. F., Devillers Rodolphe. (2022). Very high-resolution satellite-derived bathymetry and habitat mapping using Pleiades-1 and ICESat-2. Remote Sensing, 14 (1), 133 [23 p.].

Titre du document
Very high-resolution satellite-derived bathymetry and habitat mapping using Pleiades-1 and ICESat-2
Année de publication
2022
Type de document
Article référencé dans le Web of Science WOS:000741904900001
Auteurs
Le Quilleuc A., Collin A., Jasinski M. F., Devillers Rodolphe
Source
Remote Sensing, 2022, 14 (1), 133 [23 p.]
Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. Satellite-derived bathymetry represents a time saving method to map large shallow waters of remote regions compared to the current costly in situ measurement techniques. This study aims to create very high-resolution (VHR) bathymetry and habitat mapping in Mayotte island waters (Indian Ocean) by fusing 0.5 m Pleiades-1 passive multispectral imagery and active ICESat-2 LiDAR bathymetry. ICESat-2 georeferenced photons were filtered to remove noise and corrected for water column refraction. The bathymetric point clouds were validated using the French naval hydrographic and oceanographic service Litto3D(R) dataset and then used to calibrate the multispectral image to produce a digital depth model (DDM). The latter enabled the creation of a digital albedo model used to classify benthic habitats. ICESat-2 provided bathymetry down to 15 m depth with a vertical accuracy of bathymetry estimates reaching 0.89 m. The benthic habitats map produced using the maximum likelihood supervised classification provided an overall accuracy of 96.62%. This study successfully produced a VHR DDM solely from satellite data. Digital models of higher accuracy were further discussed in the light of the recent and near-future launch of higher spectral and spatial resolution satellites.
Plan de classement
Ecologie, systèmes aquatiques [036] ; Géologie et formations superficielles [064] ; Télédétection [126]
Description Géographique
MAYOTTE
Localisation
Fonds IRD [F B010083964]
Identifiant IRD
fdi:010083964
Contact