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Etude multiéchelle des performances de démélange dans le domaine thermique: le cas de la mission TRISHNA

hal.structure.identifierDOTA, ONERA, Université de Toulouse [Toulouse]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGRANERO-BELINCHON, Carlos
hal.structure.identifierDOTA, ONERA, Université de Toulouse [Toulouse]
dc.contributor.authorMICHEL, Aurelie
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLAGOUARDE, Jean-Pierre
hal.structure.identifierDepartment of Thermodynamics, Faculty of Physics
dc.contributor.authorSOBRINO, José Antonio
hal.structure.identifierDOTA, ONERA, Université de Toulouse [Toulouse]
dc.contributor.authorBRIOTTET, Xavier
dc.date.accessioned2024-04-08T12:07:59Z
dc.date.available2024-04-08T12:07:59Z
dc.date.issued2019
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196491
dc.description.abstractEnThis work is linked to the future Indian-French high spatio-temporal TRISHNA (Thermal infraRed Imaging Satellite for High-resolution natural resource Assessment) mission, which includes shortwave and thermal infrared bands, and is devoted amongst other things to the monitoring of urban heat island events. In this article, the performance of seven empirical thermal unmixing techniques applied on simulated TRISHNA satellite images of an urban scenario is studied across spatial resolutions. For this purpose, Top Of Atmosphere (TOA) images in the shortwave and Thermal InfraRed (TIR) ranges are constructed at different resolutions (20 m, 40 m, 60 m, 80 m, and 100 m) and according to TRISHNA specifications (spectral bands and sensor properties). These images are synthesized by correcting and undersampling DESIREX 2008 Airborne Hyperspectral Scanner (AHS) images of Madrid at 4 m resolution. This allows to compare the Land Surface Temperature (LST) retrieval of several unmixing techniques applied on different resolution images, as well as to characterize the evolution of the performance of each technique across resolutions. The seven unmixing techniques are: Disaggregation of radiometric surface Temperature (DisTrad), Thermal imagery sHARPening (TsHARP), Area-To-Point Regression Kriging (ATPRK), Adaptive Area-To-Point Regression Kriging (AATPRK), Urban Thermal Sharpener (HUTS), Multiple Linear Regressions (MLR), and two combinations of ground classification (index-based classification and K-means classification) with DisTrad. Studying these unmixing techniques across resolutions also allows to validate the scale invariance hypotheses on which the techniques hinge. Each thermal unmixing technique has been tested with several shortwave indices, in order to choose the best one. It is shown that (i) ATPRK outperforms the other compared techniques when characterizing the LST of Madrid, (ii) the unmixing performance of any technique is degraded when the coarse spatial resolution increases, (iii) the used shortwave index does not strongly influence the unmixing performance, and (iv) even if the scale-invariant hypotheses behind these techniques remain empirical, this does not affect the unmixing performances within this range of resolutions.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectTRISHNA
dc.subjectURBAIN
dc.subjectDEMELANGE
dc.subjectTEMPERATURE DE SURFACE
dc.subject.enTHERMAL UNMIXING
dc.subject.enURBAN ENVIRONMENT
dc.subject.enLAND SURFACE TEMPERATURE
dc.subject.enTRISHNA MISSION
dc.titleEtude multiéchelle des performances de démélange dans le domaine thermique: le cas de la mission TRISHNA
dc.title.enMulti-Resolution Study of Thermal Unmixing Techniques over Madrid Urban Area: Case Study of TRISHNA Mission
dc.typeArticle de revue
dc.identifier.doi10.3390/rs11101251
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halSciences de l'environnement/Ingénierie de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page1251
bordeaux.volume11
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue10
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02296785
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02296785v1
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