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hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierVisioTerra
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorYGORRA, Bertrand
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, F.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOISY, Christophe
hal.structure.identifierUMR 228 Espace-Dev, Espace pour le développement
dc.contributor.authorCATRY, Thibault
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorBAUP, F.
hal.structure.identifierNamibia University of Science and Technology [NUST]
dc.contributor.authorHAMUNYELA, E.
hal.structure.identifierVisioTerra
dc.contributor.authorRIAZANOFF, S.
dc.date.accessioned2024-04-08T11:50:18Z
dc.date.available2024-04-08T11:50:18Z
dc.date.issued2021-09-06
dc.identifier.issn1569-8432
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195380
dc.description.abstractEnThe forest decline in tropical areas is one of the largest global environmental threats as the growth of both global population and its needs have put an increasing pressure on these ecosystems. Efforts are ongoing to reduce tropical deforestation rates. Earth observations are increasingly used to monitor deforestation over the whole equatorial area. Change detection methods are mainly applied to satellite optical images which face limitations in humid tropical areas. For instance, due to frequent cloud cover in the tropics, there are often long delays in the detection of deforestation events. Recently, detection methods applied to Synthetic Aperture Radar (SAR) have been developed to address the limitations related to cloud cover. In this study, we present an application of a recently developed change detection method for monitoring forest cover loss from SAR time-series data in tropical zone. The method is based on the Cumulative Sum algorithm (CuSum) combined with a bootstrap analysis. The method was applied to time-series of Sentinel-1 ground range detected (GRD) dual polarization (VV, VH) images forming a dataset of 60 images to monitor forest cover loss in a legal forest concession of the Democratic Republic of Congo during the 2018-2020 period. A cross-threshold recombination was then conducted on the computed maps. Evaluated against reference forest cut maps, an overall accuracy up to 91% and a precision up to 75% in forest clear cut detection was obtained. Our results show that more than 60% of forest disturbances were detected before the PlanetScope-based estimated date of cut, which may suggest the capacity of our method to detect forest degradation.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.subjectForet tropicale
dc.subjectCongo République démocratique
dc.subjectTélédétection
dc.subject.enDeforestation
dc.subject.enRemote sensing
dc.subject.enSentinel-1
dc.subject.enCumulative sum algorithm
dc.subject.enTropical forest
dc.subject.enChange detection
dc.title.enMonitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jag.2021.102532
dc.subject.halSciences de l'environnement
bordeaux.journalInternational Journal of Applied Earth Observation and Geoinformation
bordeaux.page1-19
bordeaux.volume103
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03357778
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03357778v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Applied%20Earth%20Observation%20and%20Geoinformation&rft.date=2021-09-06&rft.volume=103&rft.spage=1-19&rft.epage=1-19&rft.eissn=1569-8432&rft.issn=1569-8432&rft.au=YGORRA,%20Bertrand&FRAPPART,%20F.&J.-P.,%20Wigneron&MOISY,%20Christophe&CATRY,%20Thibault&rft.genre=article


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