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Annual maps of forests in Australia from analyses of microwave and optical images with FAO forest definition

hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorQIN, Yuanwei
hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorXIAO, Xiangming
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorCIAIS, Philippe
hal.structure.identifierData61 [Canberra] [CSIRO]
dc.contributor.authorCANADELL, Josep G.
hal.structure.identifierDepartment of Geosciences and Natural Resource Management [Copenhagen] [IGN]
dc.contributor.authorBRANDT, Martin
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLI, Xiaojun
hal.structure.identifierNational University of Singapore [NUS]
dc.contributor.authorFAN, Lei
hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorWU, Xiaocui
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorTANG, Hao
hal.structure.identifierDepartment of Geographical Sciences [College Park]
dc.contributor.authorDUBAYAH, Ralph
hal.structure.identifierDivision of Geological and Planetary Sciences [Pasadena]
dc.contributor.authorDOUGHTY, Russell
hal.structure.identifierIndiana University [Bloomington]
dc.contributor.authorCHANG, Qing
hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorCROWELL, Sean
dc.contributor.authorZHENG, Bo
hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorNEAL, Kevin
hal.structure.identifierUniversity of Oklahoma [OU]
dc.contributor.authorCELIS, Jorge A.
hal.structure.identifierTsinghua Shenzhen International Graduate School [Shenzhen]
dc.contributor.authorMOORE, Berrien
dc.date.accessioned2024-04-08T11:47:48Z
dc.date.available2024-04-08T11:47:48Z
dc.date.issued2021
dc.identifier.issn2694-1589
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195291
dc.description.abstractEnThe Australian governmental agencies reported a total of 149 million ha forest in the Food and Agriculture Organization of the United Nations (FAO) in 2010, ranking sixth in the world, which is based on a forest definition with tree height>2 meters. Here, we report a new forest cover data product that used the FAO forest definition (tree cover>10 % and tree height>5 meters at observation time or mature) and was derived from microwave (Phased Array type L-band Synthetic Aperture Radar, PALSAR) and optical (Moderate Resolution Imaging Spectroradiometer, MODIS) images and validated with very high spatial resolution images, Light Detection and Ranging (LiDAR) data from the Ice, Cloud, and land Elevation Satellite (ICESat), and in situ field survey sites. The new PALSAR/MODIS forest map estimates 32 million ha of forest in 2010 over Australia. PALSAR/MODIS forest map has an overall accuracy of ~95% based on the reference data derived from visual interpretation of very high spatial resolution images for forest and nonforest cover types. Compared with the canopy height and canopy coverage data derived from ICESat LiDAR strips, PALSAR/MODIS forest map has 73% of forest pixels meeting the FAO forest definition, much higher than the other four widely used forest maps (ranging from 36% to 52%). PALSAR/MODIS forest map also has a reasonable spatial consistency with the forest map from the National Vegetation Information System. This new annual map of forests in Australia could support cross-country comparison when using data from the FAO Forest Resource Assessment Reports.
dc.language.isoen
dc.publisherAAAS - Washington District of Columbia
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enAnnual maps of forests in Australia from analyses of microwave and optical images with FAO forest definition
dc.typeArticle de revue
dc.identifier.doi10.34133/2021/9784657
dc.subject.halPlanète et Univers [physics]
bordeaux.journalJournal of Remote Sensing (Online)
bordeaux.page9784657
bordeaux.volume2021
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierinsu-03660158
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//insu-03660158v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Remote%20Sensing%20(Online)&rft.date=2021&rft.volume=2021&rft.spage=9784657&rft.epage=9784657&rft.eissn=2694-1589&rft.issn=2694-1589&rft.au=QIN,%20Yuanwei&XIAO,%20Xiangming&J.-P.,%20Wigneron&CIAIS,%20Philippe&CANADELL,%20Josep%20G.&rft.genre=article


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