Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach

The seagrass ecosystems are among the most important organic carbon sinks on Earth, having a key role as climate change buffers. Among all seagrasses, Posidonia oceanica, an endemic seagrass species in the Mediterranean Sea, has been observed to feature the highest carbon stock and sequestration rat...

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Autores: Roca Mora, Mar, Lee, Chengfa Benjamin, Pertiwi, Avi Putri, Blume, Alina, Caballero, Isabel, Navarro, Gabriel, Traganos, Dimosthenis
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/378245
Acceso en línea:http://hdl.handle.net/10261/378245
https://api.elsevier.com/content/abstract/scopus_id/85212299900
Access Level:acceso abierto
Palabra clave:Carbon estimations
Climate change mitigation
Google Earth Engine
Posidonia oceanica
Remote sensing
Sentinel-2
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oai_identifier_str oai:digital.csic.es:10261/378245
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
title Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
spellingShingle Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
Roca Mora, Mar
Carbon estimations
Climate change mitigation
Google Earth Engine
Posidonia oceanica
Remote sensing
Sentinel-2
title_short Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
title_full Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
title_fullStr Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
title_full_unstemmed Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
title_sort Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
dc.creator.none.fl_str_mv Roca Mora, Mar
Lee, Chengfa Benjamin
Pertiwi, Avi Putri
Blume, Alina
Caballero, Isabel
Navarro, Gabriel
Traganos, Dimosthenis
author Roca Mora, Mar
author_facet Roca Mora, Mar
Lee, Chengfa Benjamin
Pertiwi, Avi Putri
Blume, Alina
Caballero, Isabel
Navarro, Gabriel
Traganos, Dimosthenis
author_role author
author2 Lee, Chengfa Benjamin
Pertiwi, Avi Putri
Blume, Alina
Caballero, Isabel
Navarro, Gabriel
Traganos, Dimosthenis
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
European Commission
Universidad de Cádiz
Banco Santander
Roca Mora, Mar [0000-0001-7311-2618]
Lee, Chengfa Benjamin [0000-0002-2207-5615]
Pertiwi, Avi Putri [0000-0002-8819-860X]
Blume, Alina [0000-0001-9267-8561]
Caballero, Isabel [0000-0001-7485-0989]
Navarro, Gabriel [0000-0002-8919-0060]
Traganos, Dimosthenis [0000-0003-0766-7986]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Carbon estimations
Climate change mitigation
Google Earth Engine
Posidonia oceanica
Remote sensing
Sentinel-2
topic Carbon estimations
Climate change mitigation
Google Earth Engine
Posidonia oceanica
Remote sensing
Sentinel-2
description The seagrass ecosystems are among the most important organic carbon sinks on Earth, having a key role as climate change buffers. Among all seagrasses, Posidonia oceanica, an endemic seagrass species in the Mediterranean Sea, has been observed to feature the highest carbon stock and sequestration rate among all seagrasses. We developed a satellite-based workflow to complement in situ seagrass monitoring efforts in the Balearic Islands (Western Mediterranean), reducing field expenses while covering regional spatial scales. Our synoptic tool uses Sentinel-2 A/B satellite imagery at 10 m spatial resolution to generate a multi-temporal composite (2016–2022) of the Balearic Islands’ coastal waters within the Google Earth Engine cloud computing platform, optimizing image processing and highlighting the importance of a high-resolution bathymetric dataset to increase seagrass mapping accuracies. Machine learning algorithms have been applied to perform seagrass detection, obtaining a seagrass cartography up to 30 m of depth, estimating 505.6 km2 of seagrass habitat extent. Using existing in situ soil carbon stock (Cstock) data, we estimated a mean Cstock value of 12.27 ± 2.1 million megagram (Mg) Corg, while mapping a total annual C fixation (Cfix) and C sequestration (Cseq) rates of P. oceanica of 1,116.3 Mg Corg and 227 Mg Corg, according to depth. Our methodology highlights the key role of using a large image archive to generate the multi-temporal optical composite and an optimized bathymetry dataset to better map and account blue carbon in seagrass ecosystems across depth, showing the importance to integrate this Earth Observation approach to ensure a seagrass ecosystem monitoring at regional scales. This information aims to support the development of blue carbon strategies with synoptic time- and cost-efficient seagrass monitoring in the Mediterranean Sea.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/378245
https://api.elsevier.com/content/abstract/scopus_id/85212299900
url http://hdl.handle.net/10261/378245
https://api.elsevier.com/content/abstract/scopus_id/85212299900
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI//CNS2023-143630
Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; 2024; Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach [Dataset]; Taylor & Francis; https://doi.org/10.6084/m9.figshare.28034699.v1
Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Bathymetry Balearic Islands - 10 m raster [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.26898310.v1
Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Bathymetric isobaths from the Balearic Islands (0-40 m) [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.27320685.v1
Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Seagrass extent, carbon fixation and sequestration (Balearic Islands) [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.27320766.v1
https://doi.org/10.1080/15481603.2024.2438838
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approachRoca Mora, MarLee, Chengfa BenjaminPertiwi, Avi PutriBlume, AlinaCaballero, IsabelNavarro, GabrielTraganos, DimosthenisCarbon estimationsClimate change mitigationGoogle Earth EnginePosidonia oceanicaRemote sensingSentinel-2The seagrass ecosystems are among the most important organic carbon sinks on Earth, having a key role as climate change buffers. Among all seagrasses, Posidonia oceanica, an endemic seagrass species in the Mediterranean Sea, has been observed to feature the highest carbon stock and sequestration rate among all seagrasses. We developed a satellite-based workflow to complement in situ seagrass monitoring efforts in the Balearic Islands (Western Mediterranean), reducing field expenses while covering regional spatial scales. Our synoptic tool uses Sentinel-2 A/B satellite imagery at 10 m spatial resolution to generate a multi-temporal composite (2016–2022) of the Balearic Islands’ coastal waters within the Google Earth Engine cloud computing platform, optimizing image processing and highlighting the importance of a high-resolution bathymetric dataset to increase seagrass mapping accuracies. Machine learning algorithms have been applied to perform seagrass detection, obtaining a seagrass cartography up to 30 m of depth, estimating 505.6 km2 of seagrass habitat extent. Using existing in situ soil carbon stock (Cstock) data, we estimated a mean Cstock value of 12.27 ± 2.1 million megagram (Mg) Corg, while mapping a total annual C fixation (Cfix) and C sequestration (Cseq) rates of P. oceanica of 1,116.3 Mg Corg and 227 Mg Corg, according to depth. Our methodology highlights the key role of using a large image archive to generate the multi-temporal optical composite and an optimized bathymetry dataset to better map and account blue carbon in seagrass ecosystems across depth, showing the importance to integrate this Earth Observation approach to ensure a seagrass ecosystem monitoring at regional scales. This information aims to support the development of blue carbon strategies with synoptic time- and cost-efficient seagrass monitoring in the Mediterranean Sea.This research has been financially supported by the Grant CNS2023-143630 funded by MICIU/AEI/10.13039/501100011033 and by European Union Next Generation EU/PRTR; the OAPN under Grant Observatory TIAMAT, [2715/2021]; the Spanish Ministry of Science, Innovation and Universities under the Grant [FPU20/01294]; the University of Cadiz under the Grant “Estancias para la obtención de la Mención de Doctorado Internacional del Plan Propio de estímulo y apoyo a la Investigación y Transferencia – UCA 2022–2023”; the Banco Santander under Grant Fundación Universia; and DLR-DAAD Scholarship under Grant nº 57478193.Peer reviewedTaylor & FrancisAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)European CommissionUniversidad de CádizBanco SantanderRoca Mora, Mar [0000-0001-7311-2618]Lee, Chengfa Benjamin [0000-0002-2207-5615]Pertiwi, Avi Putri [0000-0002-8819-860X]Blume, Alina [0000-0001-9267-8561]Caballero, Isabel [0000-0001-7485-0989]Navarro, Gabriel [0000-0002-8919-0060]Traganos, Dimosthenis [0000-0003-0766-7986]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/378245https://api.elsevier.com/content/abstract/scopus_id/85212299900reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI//CNS2023-143630Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; 2024; Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach [Dataset]; Taylor & Francis; https://doi.org/10.6084/m9.figshare.28034699.v1Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Bathymetry Balearic Islands - 10 m raster [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.26898310.v1Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Bathymetric isobaths from the Balearic Islands (0-40 m) [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.27320685.v1Roca, Mar; Lee, Chengfa Benjamin; Pertiwi, Avi Putri; Blume, Alina; Caballero, Isabel; Navarro, Gabriel; Traganos, Dimosthenis; Seagrass extent, carbon fixation and sequestration (Balearic Islands) [Dataset]; Figshare; https://doi.org/10.6084/m9.figshare.27320766.v1https://doi.org/10.1080/15481603.2024.2438838Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3782452026-05-22T06:33:51Z
score 15,81155

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