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hal.structure.identifierUniversity of Electronic Science and Technology of China [Chengdu] [UESTC]
dc.contributor.authorZHU, Ying
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLIU, Xiangzhuo
hal.structure.identifierUniversity of Electronic Science and Technology of China [Chengdu] [UESTC]
dc.contributor.authorLAI, Gengke
hal.structure.identifierUniversity of Electronic Science and Technology of China [Chengdu] [UESTC]
dc.contributor.authorQUAN, Xingwen
dc.date.accessioned2024-04-08T11:50:16Z
dc.date.available2024-04-08T11:50:16Z
dc.date.issued2021-02-17
dc.date.conference2020-09-26
dc.identifier.isbn978-1-7281-6374-1
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195378
dc.description.abstractEnNear-real-time monitoring live fuel moisture content (LFMC) from remote sensing is paramount to wildfire early management at a large scale since LFMC is a critical variable in affecting fire ignition and fire spread rate. The geostationary satellite Himawari-8 observes the land surface every 10 minutes, making near-real-time LFMC retrieval achievable. To this end, the potential of Himawari-8 data for LFMC retrieval using the radiative transfer model was explored in this study. The performance of retrieved LFMC was validated using 16 LFMC samplings located in Australia involving two land cover types: croplands and tree cover lands. Additionally, the MODIS data was also applied and compared for the LFMC retrieval. The results showed that Himawati-8 data performed poor accuracy level with R-2 and RMSE of 0.26 and 42.16%, respectively. Whereas better accuracy level was found for MODIS data, R-2 and RMSE were 0.67 and 29.17%, respectively. This result indicated that the LFMC estimated from Himawari-8 is challenged. Detailed fieldwork and methodology improvements adopted for this data are needed for improving the LFMC estimate in the future.
dc.language.isoen
dc.publisherIEEE
dc.source.titleIEE
dc.subject.enLive Fuel Moisture Content (LFMC)
dc.subject.enHimawari-8
dc.subject.enPROSAIL RTM
dc.subject.enPROGEOSAIL RTM
dc.subject.enMCD43A4.006
dc.title.enEvaluation of Himawari-8 for live fuel moisture content retrieval
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS39084.2020.9323341
dc.subject.halSciences de l'environnement
bordeaux.page6782-6785
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryUS
bordeaux.title.proceedingIEE
bordeaux.conference.cityWaikoloa
bordeaux.peerReviewedoui
hal.identifierhal-03357938
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2020-10-02
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03357938v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEE&rft.date=2021-02-17&rft.spage=6782-6785&rft.epage=6782-6785&rft.au=ZHU,%20Ying&LIU,%20Xiangzhuo&LAI,%20Gengke&QUAN,%20Xingwen&rft.isbn=978-1-7281-6374-1&rft.genre=unknown


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