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Mapping the National Seagrass Extent in Seychelles Using PlanetScope NICFI Data

Lee, Chengfa Benjamin and Martin, Lucy and Traganos, Dimosthenis and Antat, Sylvanna and Baez, Stacy K and Cupidon, Annabelle and Faure, Annike and Harlay, Jérôme and Morgan, Matthew and Mortimer, Jeanne A and Reinartz, Peter and Rowlands, Gwilym (2023) Mapping the National Seagrass Extent in Seychelles Using PlanetScope NICFI Data. Remote Sensing, 15 (18), pp. 1-16. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15184500. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/15/18/4500

Abstract

Seagrasses provide ecosystem services worth USD 2.28 trillion annually. However, their direct threats and our incomplete knowledge hamper our capabilities to protect and manage them. This study aims to evaluate if the NICFI Satellite Data Program basemaps could map Seychelles’ extensive seagrass meadows, directly supporting the country’s ambitions to protect this ecosystem. The Seychelles archipelago was divided into three geographical regions. Half-yearly basemaps from 2015 to 2020 were combined using an interval mean of the 10th percentile and median before land and deep water masking. Additional features were produced using the Depth Invariant Index, Normalised Differences, and segmentation. With 80% of the reference data, an initial Random Forest followed by a variable importance analysis was performed. Only the top ten contributing features were retained for a second classification, which was validated with the remaining 20%. The best overall accuracies across the three regions ranged between 69.7% and 75.7%. The biggest challenges for the NICFI basemaps are its four-band spectral resolution and uncertainties owing to sampling bias. As part of a nationwide seagrass extent and blue carbon mapping project, the estimates herein will be combined with ancillary satellite data and contribute to a full national estimate in a near-future report. However, the numbers reported showcase the broader potential for using NICFI basemaps for seagrass mapping at scale.

Item URL in elib:https://elib.dlr.de/197267/
Document Type:Article
Title:Mapping the National Seagrass Extent in Seychelles Using PlanetScope NICFI Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lee, Chengfa BenjaminUNSPECIFIEDhttps://orcid.org/0000-0002-2207-5615142743151
Martin, LucyEcospan Environmental Ltd, Ocean EcologyUNSPECIFIEDUNSPECIFIED
Traganos, DimosthenisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Antat, SylvannaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Baez, Stacy KUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cupidon, AnnabelleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Faure, AnnikeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Harlay, JérômeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Morgan, MatthewUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mortimer, Jeanne AUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
Rowlands, GwilymUniversity of OxfordUNSPECIFIEDUNSPECIFIED
Date:13 September 2023
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:15
DOI:10.3390/rs15184500
Page Range:pp. 1-16
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Mishra, DeepakUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:seagrass; Sentinel-2; blue carbon; Seychelles; PlanetScope NICFI; nationally determined contributions; Google Earth Engine
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical remote sensing, R - Geoscientific remote sensing and GIS methods, R - Remote Sensing and Geo Research
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Lee, Chengfa Benjamin
Deposited On:21 Sep 2023 09:59
Last Modified:26 Oct 2023 14:49

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