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First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia

hal.structure.identifierNanjing Forestry University [NFU]
dc.contributor.authorCUI, Tianxiang
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorFAN, Lei
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorCIAIS, Philippe
hal.structure.identifierIT University of Copenhagen [ITU]
dc.contributor.authorFENSHOLT, R.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierUniversity of Exeter
dc.contributor.authorSITCH, Stephen A.
hal.structure.identifierUniversité Toulouse III Paul Sabatier - Faculté de médecine Purpan [UTPS]
dc.contributor.authorCHAVE, Jérôme
dc.contributor.authorCHANG, Zhongbing
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLI, Xiaojun
hal.structure.identifierZhengzhou University
dc.contributor.authorWANG, Mengjia
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLIU, Xiangzhuo
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorMA, Mingguo
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean Pierre
dc.date.accessioned2024-04-08T11:43:59Z
dc.date.available2024-04-08T11:43:59Z
dc.date.issued2023
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195131
dc.description.abstractEnTropical Asia has shown a strong greening trend in recent years. However, detailed knowledge about changes in carbon stocks remain uncertain as only few studies have used remotely sensed vegetation products for monitoring spatial and temporal changes of aboveground live biomass carbon (AGC) in that region. This study aims at evaluating optical- and microwave-based vegetation proxies (i.e., LAI, percent tree cover (PTC), L−/X-/C-band vegetation optical depths (VOD)) for understanding the spatio-temporal variations of tropical Asian AGC between 2013 and 2019. Our results indicated that the spatial distributions of L-VOD and PTC were highly spatially correlated with four benchmark AGC maps used for comparison (R > 0.79 and R > 0.75, respectively). By employing L-VOD as the reference data in assessing AGC dynamics, the X-/C-VOD showed advantages in capturing AGC changes for low-medium (20–40 Mg C/ha) carbon density vegetation, respectively, while other vegetation proxies showed limited capabilities. All proxies presented limitations in tracking AGC dynamics at high AGC density (> 60 Mg C/ha). Tropical Asian AGC stocks estimated using the L-VOD product indicated that tropical Asia accumulated carbon in biomass at a rate of +44+39+53 Tg C/yr between 2013 and 2019. This small sink is dominated by non-forest biomes (65.9%). The non-forest regions in southern India, southwest China, and southern Vietnam and southwest China showed a continuous AGC increase while forests in northern Laos, Malaysia, and central Indonesia experienced continuous decreases between 2013 and 2019 caused by deforestation.
dc.language.isoen
dc.publisherElsevier
dc.subject.enAbove ground carbon
dc.subject.enMicrowave remote sensing
dc.subject.enOptical vegetation proxies
dc.subject.enTropical Asia
dc.subject.enVegetation optical depth
dc.title.enFirst assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2023.113619
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.page113619
bordeaux.volume293
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04106289
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04106289v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2023&rft.volume=293&rft.spage=113619&rft.epage=113619&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=CUI,%20Tianxiang&FAN,%20Lei&CIAIS,%20Philippe&FENSHOLT,%20R.&FRAPPART,%20Fr%C3%A9d%C3%A9ric&rft.genre=article


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