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hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
dc.contributor.authorCAO, Biao
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorLIU, Qinhuo
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
dc.contributor.authorDU, Yongming
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorROUJEAN, Jean-Louis
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorGASTELLU-ETCHEGORRY, Jean-Philippe
hal.structure.identifierInstituto Português de Investigação do Mar e da Atmosfera [IPMA]
dc.contributor.authorTRIGO, Isabel
hal.structure.identifierNanjing University [NJU]
dc.contributor.authorZHAN, Wenfeng
hal.structure.identifierNOAA Center for Satellite Applications and Research [STAR]
dc.contributor.authorYU, Yunyue
hal.structure.identifierBeijing Normal University [BNU]
dc.contributor.authorCHENG, Jie
hal.structure.identifierLaboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème [UMR LISAH]
dc.contributor.authorJACOB, Frédéric
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLAGOUARDE, Jean-Pierre
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
dc.contributor.authorBIAN, Zunjian
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
dc.contributor.authorLI, Hua
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
hal.structure.identifierGriffith University [Brisbane]
dc.contributor.authorHU, Tian
hal.structure.identifierInstitute of Remote Sensing and Digital Earth [RADI]
hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorXIAO, Qing
dc.date.accessioned2024-04-08T11:53:30Z
dc.date.available2024-04-08T11:53:30Z
dc.date.issued2019-10
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195537
dc.description.abstractEnThe Earth surface thermal infrared (TIR) radiation shows conspicuously an anisotropic behavior just like the bidirectional reflectance of visible and near infrared spectral domains. The importance of thermal radiation directionality (TRD) is being more and more widely recognized in the applications because of the magnitude of the effects generated. The effects of TRD were originally evidenced through experiments in 1962, showing that two sensors simultaneously measuring temperature of the same scene may get significantly different values when the viewing geometry is different. Such effect limits inter-comparison of measurement datasets and land surface temperature (LST) products acquired at different view angles, while raising the question of measurement reliability when used to characterize land surface processes. These early experiments fostered the development of modeling approaches to quantify TRD with the aim of developing a correction for Earth surface TIR radiation. Initiatives for pushing the analysis of TIR data through modeling have been lasted since 1970s. They were initially aimed at mimicking the observed TIR radiance with consideration of canopy structure, component emissivities and temperatures, and Earth surface energy exchange processes. Presently, observing the Earth surface TRD effect is still a challenging task because the TIR status changes rapidly. Firstly, a brief theoretical background and the basic radiative transfer equation are presented. Then, this paper reviews the historical development and current status of observing TRD in the laboratory, in-situ, from airborne and space-borne platforms. Accordingly, the TRD model development, including radiative transfer models, geometric models, hybrid models, 3D models, and parametric models are reviewed for surfaces of water, ice and sea, snow, barren lands, vegetation and urban landscapes, respectively. Next, we introduce three potential applications, including normalizing the LST products, estimating the hemispheric upward longwave radiation using multi-angular TIR observations and separating surface component temperatures. Finally, we give hints and directions for future research work. The last section summarizes the study and stresses three main conclusions.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.endirectional brightness temperature
dc.subject.endirectional radiometric temperature
dc.subject.endirectional canopy emissivity
dc.subject.endirectional thermal emission
dc.subject.enthermal radiation directionality
dc.subject.enthermal emission directionality
dc.subject.endirectional anisotropy
dc.subject.enthermal anisotropy
dc.subject.enland surface temperature anisotropy
dc.subject.enangular anisotropy
dc.title.enA review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives
dc.typeArticle de revue
dc.typeArticle de synthèse
dc.identifier.doi10.1016/j.rse.2019.111304
dc.subject.halPlanète et Univers [physics]
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.volume232
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02354402
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02354402v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2019-10&rft.volume=232&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=CAO,%20Biao&LIU,%20Qinhuo&DU,%20Yongming&ROUJEAN,%20Jean-Louis&GASTELLU-ETCHEGORRY,%20Jean-Philippe&rft.genre=article&unknown


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