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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorBioflore-
Autor(es): dc.contributorBrCarbon-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorInstitute for Technology Research-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorBluebell Index-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Colorado-
Autor(es): dc.contributorUniversity of Florida-
Autor(es): dc.contributorFederal University of Jequitinhonha and Mucuri Valleys-
Autor(es): dc.contributorSwedish University of Agricultural Sciences-
Autor(es): dc.contributorInstitute for Globally Distributed Open Research and Education-
Autor(es): dc.contributorNational Institute of Amazonia Research (INPA)-
Autor(es): dc.contributorRe.green-
Autor(es): dc.creatorde Almeida, Danilo R. A.-
Autor(es): dc.creatorVedovato, Laura B.-
Autor(es): dc.creatorFuza, Matheus-
Autor(es): dc.creatorMolin, Paulo-
Autor(es): dc.creatorCassol, Henrique-
Autor(es): dc.creatorResende, Angélica F.-
Autor(es): dc.creatorKrainovic, Pedro M.-
Autor(es): dc.creatorde Almeida, Catherine T.-
Autor(es): dc.creatorAmaral, Cibele-
Autor(es): dc.creatorHaneda, Leo-
Autor(es): dc.creatorAlbuquerque, Rafael W.-
Autor(es): dc.creatorGorgens, Eric-
Autor(es): dc.creatorRomanelli, João-
Autor(es): dc.creatorFerreira, Matheus-
Autor(es): dc.creatorSalk, Carl-
Autor(es): dc.creatorEspinoza, Nikolai-
Autor(es): dc.creatorSilva, Carlos-
Autor(es): dc.creatorBroadbent, Eben-
Autor(es): dc.creatorBrancalion, Pedro H.S.-
Data de aceite: dc.date.accessioned2025-08-21T20:40:18Z-
Data de disponibilização: dc.date.available2025-08-21T20:40:18Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2025-01-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1111/1365-2664.14830-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297847-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297847-
Descrição: dc.descriptionTropical 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.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionSvenska Forskningsrådet Formas-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionBioflore-
Descrição: dc.descriptionBrCarbon-
Descrição: dc.descriptionDepartament of Forest Sciences University of São Paulo-
Descrição: dc.descriptionInstitute for Technology Research-
Descrição: dc.descriptionCenter for Nature Sciences Federal University of São Carlos-
Descrição: dc.descriptionBluebell Index-
Descrição: dc.descriptionInstitute of Advanced Studies University of São Paulo-
Descrição: dc.descriptionDepartment of Biological Sciences ‘Luiz de Queiroz’ College of Agriculture University of São Paulo-
Descrição: dc.descriptionFaculty of Agricultural Sciences of Vale do Ribeira São Paulo State University (UNESP)-
Descrição: dc.descriptionEarth Lab Cooperative Institute for Research in Environmental Sciences University of Colorado-
Descrição: dc.descriptionEnvironmental Data Science Innovation and Inclusion Lab (ESIIL) Cooperative Institute for Research in Environmental Sciences University of Colorado-
Descrição: dc.descriptionSchool of Forest Fisheries and Geomatics Sciences University of Florida-
Descrição: dc.descriptionSpatial Analysis and Modelling Lab (SPAMLab) Institute of Energy and Environment University of São Paulo-
Descrição: dc.descriptionDepartament of Engineer Forest Federal University of Jequitinhonha and Mucuri Valleys-
Descrição: dc.descriptionLaboratory of Ecology and Forest Restoration (LERF) Department of Biological Sciences ‘Luiz de Queiroz’ College of Agriculture University of São Paulo-
Descrição: dc.descriptionSouthern Swedish Forest Research Centre Swedish University of Agricultural Sciences-
Descrição: dc.descriptionInstitute for Globally Distributed Open Research and Education, Gothenburg-
Descrição: dc.descriptionEcology Monitoring and Sustainable Use of Wetlands (MAUA) National Institute of Amazonia Research (INPA), Amazonas-
Descrição: dc.descriptionForest Biometrics Remote Sensing and Artificial Intelligence Laboratory (Silva Lab) School of Forest Fisheries and Geomatics Sciences University of Florida-
Descrição: dc.descriptionSpatial Ecology and Conservation Lab (SPECLab) School of Forest Fisheries and Geomatics Sciences University of Florida-
Descrição: dc.descriptionRe.green-
Descrição: dc.descriptionFaculty of Agricultural Sciences of Vale do Ribeira São Paulo State University (UNESP)-
Descrição: dc.descriptionFAPESP: 2014/50279-4-
Descrição: dc.descriptionFAPESP: 2018/14423-4-
Descrição: dc.descriptionFAPESP: 2018/18416-2-
Descrição: dc.descriptionSvenska Forskningsrådet Formas: 2019-01101-
Descrição: dc.descriptionFAPESP: 2019/24049-5-
Descrição: dc.descriptionFAPESP: 2020/06734-0-
Descrição: dc.descriptionFAPESP: 2020/15230-5-
Descrição: dc.descriptionFAPESP: 2021/10573-4-
Descrição: dc.descriptionFAPESP: 2021/13735-5-
Descrição: dc.descriptionFAPESP: 2022/007712-5-
Descrição: dc.descriptionFAPESP: 2022/14605-0-
Descrição: dc.descriptionFAPESP: 2022/15507-2-
Descrição: dc.descriptionFAPESP: 2023/00412-9-
Descrição: dc.descriptionFAPESP: 2023/05751-6-
Descrição: dc.descriptionFAPESP: 2023/09862-7-
Descrição: dc.descriptionCNPq: 309000/2023-8-
Formato: dc.format188-206-
Idioma: dc.languageen-
Relação: dc.relationJournal of Applied Ecology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectbiodiversity-
Palavras-chave: dc.subjectcarbon storage-
Palavras-chave: dc.subjecteffective monitoring-
Palavras-chave: dc.subjectforest succession-
Palavras-chave: dc.subjectremote sensors-
Palavras-chave: dc.subjectsecondary forests-
Título: dc.titleRemote sensing approaches to monitor tropical forest restoration: Current methods and future possibilities-
Tipo de arquivo: dc.typevídeo-
Aparece nas coleções:Repositório Institucional - Unesp

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