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hal.structure.identifierFaculty of Bioscience Engineering [Ghent]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorHUFKENS, Koen
hal.structure.identifierRoyal Museum for Central Africa [Tervuren] [RMCA]
dc.contributor.authorDE HAULLEVILLE, Thalès
hal.structure.identifierFaculty of Bioscience Engineering [Ghent]
dc.contributor.authorKEARSLEY, Elizabeth
hal.structure.identifierFaculty of Bioscience Engineering [Ghent]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJACOBSEN, Kim
hal.structure.identifierRoyal Museum for Central Africa [Tervuren] [RMCA]
dc.contributor.authorBEECKMAN, Hans
hal.structure.identifierMeise Botanic Garden [Belgium] [Plantentuin]
dc.contributor.authorSTOFFELEN, Piet
hal.structure.identifierMeise Botanic Garden [Belgium] [Plantentuin]
dc.contributor.authorVANDELOOK, Filip
hal.structure.identifierMeise Botanic Garden [Belgium] [Plantentuin]
dc.contributor.authorMEEUS, Sofie
hal.structure.identifierNational Archives of Belgium
dc.contributor.authorAMARA, Michael
hal.structure.identifierNational Archives of Belgium
dc.contributor.authorVAN HIRTUM, Leen
hal.structure.identifierFaculty of Bioscience Engineering [Ghent]
dc.contributor.authorVAN DEN BULCKE, Jan
hal.structure.identifierFaculty of Bioscience Engineering [Ghent]
dc.contributor.authorVERBEECK, Hans
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWINGATE, Lisa
dc.date.accessioned2024-04-08T12:07:20Z
dc.date.available2024-04-08T12:07:20Z
dc.date.issued2020-02
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196458
dc.description.abstractEnGiven the impact of tropical forest disturbances on atmospheric carbon emissions, biodiversity, and ecosystem productivity, accurate long-term reporting of Land-Use and Land-Cover (LULC) change in the pre-satellite era (<1972) is an imperative. Here, we used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin. Our study leveraged structure-from-motion and a convolutional neural network-based LULC classifier, using synthetic landscape-based image augmentation to map historical forest cover across a large orthomosaic (similar to 93,431 ha) geo-referenced to similar to 4.7 +/- 4.3 m at submeter resolution. A comparison with contemporary LULC data showed a shift from previously highly regular industrial deforestation of large areas to discrete smallholder farming clearing, increasing landscape fragmentation and providing opportunties for substantial forest regrowth. We estimated aboveground carbon gains through reforestation to range from 811 to 1592 Gg C, partially offsetting historical deforestation (2416 Gg C), in our study area. Efforts to quantify long-term canopy texture changes and their link to aboveground carbon had limited to no success. Our analysis provides methods and insights into key spatial and temporal patterns of deforestation and reforestation at a multi-decadal scale, providing a historical context for past and ongoing forest research in the area.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enaerial survey
dc.subject.endata recovery
dc.subject.enCNN
dc.subject.endeep learning
dc.subject.enSfM
dc.subject.enCongo Basin
dc.title.enHistorical Aerial Surveys Map Long-Term Changes of Forest Cover and Structure in the Central Congo Basin
dc.typeArticle de revue
dc.typeArticle de synthèse
dc.identifier.doi10.3390/rs12040638
dc.subject.halSciences de l'environnement/Environnement et Société
bordeaux.journalRemote Sensing
bordeaux.page638
bordeaux.volume12
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue4
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02532779
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02532779v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Remote%20Sensing&amp;rft.date=2020-02&amp;rft.volume=12&amp;rft.issue=4&amp;rft.spage=638&amp;rft.epage=638&amp;rft.eissn=2072-4292&amp;rft.issn=2072-4292&amp;rft.au=HUFKENS,%20Koen&amp;DE%20HAULLEVILLE,%20Thal%C3%A8s&amp;KEARSLEY,%20Elizabeth&amp;JACOBSEN,%20Kim&amp;BEECKMAN,%20Hans&amp;rft.genre=article&amp;unknown


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