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Article

Mapping Sub-Metre 3D Land-Sea Coral Reefscapes Using Superspectral WorldView-3 Satellite Stereoimagery

1
Coastal GeoEcological Lab, Ecole Pratique des Hautes Etudes (EPHE), PSL University, 35800 Dinard, France
2
Laboratoire d’Excellence “CORAIL”, 66100 Perpignan, France
3
Digitalglobe Foundation, Westminster, CO 80234, USA
4
CRIOBE, EPHE-UPVD-CNRS, PSL University, 98729 Moorea, French Polynesia
5
Maison des Océans, CRIOBE, EPHE-UPVD-CNRS, PSL University, 75005 Paris, France
*
Author to whom correspondence should be addressed.
Academic Editor: Rupert Ormond
Oceans 2021, 2(2), 315-329; https://doi.org/10.3390/oceans2020018
Received: 29 October 2020 / Revised: 16 March 2021 / Accepted: 25 March 2021 / Published: 2 April 2021
Shallow coral reefs ensure a wide portfolio of ecosystem services, from fish provisioning to tourism, that support more than 500 million people worldwide. The protection and sustainable management of these pivotal ecosystems require fine-scale but large-extent mapping of their 3D composition. The sub-metre spaceborne imagery can neatly produce such an expected product using multispectral stereo-imagery. We built the first 3D land-sea coral reefscape mapping using the 0.3 m superspectral WorldView-3 stereo-imagery. An array of 13 land use/land cover and sea use/sea cover habitats were classified using sea-, ground- and air-truth data. The satellite-derived topography and bathymetry reached vertical accuracies of 1.11 and 0.89 m, respectively. The value added of the eight mid-infrared (MIR) channels specific to the WorldView-3 was quantified using the classification overall accuracy (OA). With no topobathymetry, the best combination included the eight-band optical (visible + near-infrared) and the MIR8, which boosted the basic blue-green-red OA by 9.58%. The classes that most benefited from this MIR information were the land use “roof” and land cover “soil” classes. The addition of the satellite-derived topobathymetry to the optical+MIR1 produced the best full combination, increasing the basic OA by 9.73%, and reinforcing the “roof” and “soil” distinction. View Full-Text
Keywords: satellite; superspectral; VHR; topobathymetry; LULC; SUSC; Moorea Island satellite; superspectral; VHR; topobathymetry; LULC; SUSC; Moorea Island
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MDPI and ACS Style

Collin, A.; Andel, M.; Lecchini, D.; Claudet, J. Mapping Sub-Metre 3D Land-Sea Coral Reefscapes Using Superspectral WorldView-3 Satellite Stereoimagery. Oceans 2021, 2, 315-329. https://doi.org/10.3390/oceans2020018

AMA Style

Collin A, Andel M, Lecchini D, Claudet J. Mapping Sub-Metre 3D Land-Sea Coral Reefscapes Using Superspectral WorldView-3 Satellite Stereoimagery. Oceans. 2021; 2(2):315-329. https://doi.org/10.3390/oceans2020018

Chicago/Turabian Style

Collin, Antoine, Mark Andel, David Lecchini, and Joachim Claudet. 2021. "Mapping Sub-Metre 3D Land-Sea Coral Reefscapes Using Superspectral WorldView-3 Satellite Stereoimagery" Oceans 2, no. 2: 315-329. https://doi.org/10.3390/oceans2020018

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