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Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

2024-02Artigo científico Acesso aberto
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dc.contributor.authorGuerra-Hernández, J.
dc.contributor.authorPascual, Adrian
dc.contributor.authorTupinambá-Simões, Frederico
dc.contributor.authorGodinho, Sergio
dc.contributor.authorBotequim, Brigite
dc.contributor.authorJurado-Varela, Alfonso
dc.contributor.authorSandoval-Altelarreah, Vicente
dc.date.accessioned2025-01-06T19:48:14Z
dc.date.available2025-01-06T19:48:14Z
dc.date.issued2024-02
dc.description.abstractNew remote-sensed biomass change products will transform our capacity to monitor and validate large-scale carbon dynamic in the next decade. In this study, we evaluated the use of multitemporal Airborne Laser Scanning (ALS) and the Climate Change Initiative (CCI) BIOMASS spaceborne mission to estimate AGB dynamics in different Mediterranean forest over an 8-year period (2010–2018). To do so, we evaluated different maps to estimate change in AGB, specifically indirect approach using forest-type specific ALS-based AGB maps using i) countrywide ALS coverage at 25 m resolution (2010–2018) and ii) the global, 100-m resolution CCI maps version 3 (2010–2018). The change in AGB (ΔAGB) was mapped across the study region to compute dynamics by forest type. Our results suggest that the indirect approach using ALS-model-based produced more accurate estimates in change of AGB than CCI when we compared with the design-based AGB estimation using Spanish National Forest Inventory (SNFI) at strata level. The spatial representation of the AGB change indicated that ΔAGB-ALS changes by forest type had an overall gain in biomass at regional level. The ΔAGB total and net annual changes by year and area (AGB, Mg ha−1 year−1) were closed to the values obtained using SNFI at strata level. This study demonstrates the feasibility of enhancing carbon sequestration and stock capacity in Mediterranean forest using multitemporal ALS data and the limitations of global AGB maps at Regional Scale.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJuan Guerra-Hernández, Adrian Pascual, Frederico Tupinambá-Simões, Sergio Godinho, Brigite Botequim, Alfonso Jurado-Varela & Vicente Sandoval-Altelarrea (2024) Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests, European Journal of Remote Sensing, 57:1, 2315413, DOI: 10.1080/22797254.2024.2315413pt_PT
dc.identifier.doi10.1080/22797254.2024.2315413pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/96894
dc.language.isoengpt_PT
dc.publisherTaylor & Francispt_PT
dc.relationUIDB/00239/2023pt_PT
dc.relationCEECIND/02576/2022pt_PT
dc.relation.publisherversionwww.tandfonline.com/journals/tejr20pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLiDARpt_PT
dc.subjectCCI biomass missionpt_PT
dc.subjectforest monitoringpt_PT
dc.subjectbiomass stockspt_PT
dc.subjectSpanish National Forest Inventory (SNFI)pt_PT
dc.subjectcarbon sequestrationpt_PT
dc.titleUsing bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forestspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage2315413pt_PT
oaire.citation.titleEUROPEAN JOURNAL OF REMOTE SENSINGpt_PT
oaire.citation.volume57pt_PT
person.familyNameGuerra Hernández
person.givenNameJuan
person.identifier176277
person.identifier.ciencia-idAD17-4910-2F31
person.identifier.orcid0000-0003-3518-2978
person.identifier.ridN-2501-2019
person.identifier.scopus-author-id57189042478
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7760c482-f74e-492c-8483-c29477a1f350
relation.isAuthorOfPublication.latestForDiscovery7760c482-f74e-492c-8483-c29477a1f350

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