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Remote sensing approaches to monitor tropical forest restoration: Current methods and future possibilities

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dc.contributor.authorde Almeida, Danilo R. A.
dc.contributor.authorVedovato, Laura B.
dc.contributor.authorFuza, Matheus
dc.contributor.authorMolin, Paulo
dc.contributor.authorCassol, Henrique
dc.contributor.authorResende, Angélica F.
dc.contributor.authorKrainovic, Pedro M.
dc.contributor.authorde Almeida, Catherine T. [UNESP]
dc.contributor.authorAmaral, Cibele
dc.contributor.authorHaneda, Leo
dc.contributor.authorAlbuquerque, Rafael W.
dc.contributor.authorGorgens, Eric
dc.contributor.authorRomanelli, João
dc.contributor.authorFerreira, Matheus
dc.contributor.authorSalk, Carl
dc.contributor.authorEspinoza, Nikolai
dc.contributor.authorSilva, Carlos
dc.contributor.authorBroadbent, Eben
dc.contributor.authorBrancalion, Pedro H.S.
dc.contributor.institutionBioflore
dc.contributor.institutionBrCarbon
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionInstitute for Technology Research
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionBluebell Index
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of Colorado
dc.contributor.institutionUniversity of Florida
dc.contributor.institutionFederal University of Jequitinhonha and Mucuri Valleys
dc.contributor.institutionSwedish University of Agricultural Sciences
dc.contributor.institutionInstitute for Globally Distributed Open Research and Education
dc.contributor.institutionNational Institute of Amazonia Research (INPA)
dc.contributor.institutionRe.green
dc.date.accessioned2025-04-29T18:35:26Z
dc.date.issued2025-02-01
dc.description.abstractTropical forests are increasingly threatened by deforestation and degradation, impacting carbon storage, climate regulations and biodiversity. Restoring these ecosystems is crucial for environmental sustainability, yet monitoring these efforts poses significant challenges. Secondary forests are in a constant state of flux, with growth depending on multiple factors. Remote sensing technologies offer cost-effective, scalable and transferable solutions, advancing forest restoration monitoring towards more accurate, efficient and real-time data analysis and interpretation. This review provides a comprehensive evaluation of the current state and advancements in remote sensing technologies applied to monitoring tropical forest restoration. Synthesis and applications: This review brings together the state of the art of remote sensing technologies, such as very-high-resolution RGB imagery, multi- and hyperspectral imaging, lidar, radar and thermal-infrared technologies and their applicability in monitoring forest restoration. In conclusion, this review emphasizes the potential of remote sensing technologies, coupled with advanced computational techniques, to enhance global efforts towards effective and sustainable forest restoration monitoring.en
dc.description.affiliationBioflore
dc.description.affiliationBrCarbon
dc.description.affiliationDepartament of Forest Sciences University of São Paulo
dc.description.affiliationInstitute for Technology Research
dc.description.affiliationCenter for Nature Sciences Federal University of São Carlos
dc.description.affiliationBluebell Index
dc.description.affiliationInstitute of Advanced Studies University of São Paulo
dc.description.affiliationDepartment of Biological Sciences ‘Luiz de Queiroz’ College of Agriculture University of São Paulo
dc.description.affiliationFaculty of Agricultural Sciences of Vale do Ribeira São Paulo State University (UNESP)
dc.description.affiliationEarth Lab Cooperative Institute for Research in Environmental Sciences University of Colorado
dc.description.affiliationEnvironmental Data Science Innovation and Inclusion Lab (ESIIL) Cooperative Institute for Research in Environmental Sciences University of Colorado
dc.description.affiliationSchool of Forest Fisheries and Geomatics Sciences University of Florida
dc.description.affiliationSpatial Analysis and Modelling Lab (SPAMLab) Institute of Energy and Environment University of São Paulo
dc.description.affiliationDepartament of Engineer Forest Federal University of Jequitinhonha and Mucuri Valleys
dc.description.affiliationLaboratory of Ecology and Forest Restoration (LERF) Department of Biological Sciences ‘Luiz de Queiroz’ College of Agriculture University of São Paulo
dc.description.affiliationSouthern Swedish Forest Research Centre Swedish University of Agricultural Sciences
dc.description.affiliationInstitute for Globally Distributed Open Research and Education, Gothenburg
dc.description.affiliationEcology Monitoring and Sustainable Use of Wetlands (MAUA) National Institute of Amazonia Research (INPA), Amazonas
dc.description.affiliationForest Biometrics Remote Sensing and Artificial Intelligence Laboratory (Silva Lab) School of Forest Fisheries and Geomatics Sciences University of Florida
dc.description.affiliationSpatial Ecology and Conservation Lab (SPECLab) School of Forest Fisheries and Geomatics Sciences University of Florida
dc.description.affiliationRe.green
dc.description.affiliationUnespFaculty of Agricultural Sciences of Vale do Ribeira São Paulo State University (UNESP)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipSvenska Forskningsrådet Formas
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2014/50279-4
dc.description.sponsorshipIdFAPESP: 2018/14423-4
dc.description.sponsorshipIdFAPESP: 2018/18416-2
dc.description.sponsorshipIdSvenska Forskningsrådet Formas: 2019-01101
dc.description.sponsorshipIdFAPESP: 2019/24049-5
dc.description.sponsorshipIdFAPESP: 2020/06734-0
dc.description.sponsorshipIdFAPESP: 2020/15230-5
dc.description.sponsorshipIdFAPESP: 2021/10573-4
dc.description.sponsorshipIdFAPESP: 2021/13735-5
dc.description.sponsorshipIdFAPESP: 2022/007712-5
dc.description.sponsorshipIdFAPESP: 2022/14605-0
dc.description.sponsorshipIdFAPESP: 2022/15507-2
dc.description.sponsorshipIdFAPESP: 2023/00412-9
dc.description.sponsorshipIdFAPESP: 2023/05751-6
dc.description.sponsorshipIdFAPESP: 2023/09862-7
dc.description.sponsorshipIdCNPq: 309000/2023-8
dc.format.extent188-206
dc.identifierhttp://dx.doi.org/10.1111/1365-2664.14830
dc.identifier.citationJournal of Applied Ecology, v. 62, n. 2, p. 188-206, 2025.
dc.identifier.doi10.1111/1365-2664.14830
dc.identifier.issn1365-2664
dc.identifier.issn0021-8901
dc.identifier.scopus2-s2.0-85211226620
dc.identifier.urihttps://hdl.handle.net/11449/297847
dc.language.isoeng
dc.relation.ispartofJournal of Applied Ecology
dc.sourceScopus
dc.subjectbiodiversity
dc.subjectcarbon storage
dc.subjecteffective monitoring
dc.subjectforest succession
dc.subjectremote sensors
dc.subjectsecondary forests
dc.titleRemote sensing approaches to monitor tropical forest restoration: Current methods and future possibilitiesen
dc.typeResenhapt
dspace.entity.typePublication
unesp.author.orcid0000-0002-8747-0085[1]
unesp.author.orcid0000-0001-7795-9269[2]
unesp.author.orcid0009-0008-7061-0732[3]
unesp.author.orcid0000-0002-4587-935X[4]
unesp.author.orcid0000-0001-6728-4712[5]
unesp.author.orcid0000-0002-9875-1122[6]
unesp.author.orcid0000-0001-6363-8560[7]
unesp.author.orcid0000-0002-8140-2903[8]
unesp.author.orcid0000-0001-7597-2427[9]
unesp.author.orcid0000-0002-0547-8906[10]
unesp.author.orcid0000-0002-4294-5876[11]
unesp.author.orcid0000-0003-2517-0279[12]
unesp.author.orcid0000-0001-8011-2077[13]
unesp.author.orcid0000-0003-0687-4422[14]
unesp.author.orcid0000-0003-2833-8292[15]
unesp.author.orcid0000-0002-7844-3560[17]
unesp.author.orcid0000-0002-4488-4237[18]
unesp.author.orcid0000-0001-8245-4062[19]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias do Vale do Ribeira, Registropt

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Registro - FCAVR - Faculdade de Ciências Agrárias do Vale do Ribeira