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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.identifierUniversitat de València = University of Valencia [UV]
dc.contributor.authorSOBRINO, José
hal.structure.identifierDOTA, ONERA, Université de Toulouse [Toulouse]
dc.contributor.authorBRIOTTET, Xavier
dc.date.accessioned2024-04-08T12:08:09Z
dc.date.available2024-04-08T12:08:09Z
dc.date.issued2019
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196502
dc.description.abstractEnUrban Heat Islands (UHIs) at the surface and canopy levels are major issues in urban planification and development. For this reason, the comprehension and quantification of the influence that the different land-uses/land-covers have on UHIs is of particular importance. In order to perform a detailed thermal characterisation of the city, measures covering the whole scenario (city and surroundings) and with a recurrent revisit are needed. In addition, a resolution of tens of meters is needed to characterise the urban heterogeneities. Spaceborne remote sensing meets the first and the second requirements but the Land Surface Temperature (LST) resolutions remain too rough compared to the urban object scale. Thermal unmixing techniques have been developed in recent years, allowing LST images during day at the desired scales. However, while LST gives information of surface urban heat islands (SUHIs), canopy UHIs and SUHIs are more correlated during the night, hence the development of thermal unmixing methods for night LSTs is necessary. This article proposes to adapt four empirical unmixing methods of the literature, Disaggregation of radiometric surface Temperature (DisTrad), High-resolution Urban Thermal Sharpener (HUTS), Area-To-Point Regression Kriging (ATPRK), and Adaptive Area-To-Point Regression Kriging (AATPRK), to unmix night LSTs. These methods are based on given relationships between LST and reflective indices, and on invariance hypotheses of these relationships across resolutions. Then, a comparative study of the performances of the different techniques is carried out on TRISHNA synthesized images of Madrid. Since TRISHNA is a mission in preparation, the synthesis of the images has been done according to the planned specification of the satellite and from initial Aircraft Hyperspectral Scanner (AHS) data of the city obtained during the DESIREX 2008 capaign. Thus, the coarse initial resolution is 60 m and the finer post-unmixing one is 20 m. In this article, we show that: (1) AATPRK is the most performant unmixing technique when applied on night LST, with the other three techniques being undesirable for night applications at TRISHNA resolutions. This can be explained by the local application of AATPRK. (2) ATPRK and DisTrad do not improve significantly the LST image resolution. (3) HUTS, which depends on albedo measures, misestimates the LST, leading to the worst temperature unmixing. (4) The two main factors explaining the obtained performances are the local/global application of the method and the reflective indices used in the LST-index relationship.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectDÉMÉLANGE
dc.subjectMILIEU URBAIN
dc.subjectSUHI
dc.subjectNUIT
dc.subject.enNIGHT THERMAL UNMIXING
dc.subject.enURBAN AREA
dc.subject.enSURFACE URBAN HEAT ISLAND
dc.subject.enLAND SURFACE TEMPERATURE
dc.subject.enTRISHNA MISSION
dc.title.enNight Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data
dc.typeArticle de revue
dc.identifier.doi10.3390/rs11121449
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalRemote Sensing
bordeaux.page1449
bordeaux.volume11
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue12
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02181505
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02181505v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2019&rft.volume=11&rft.issue=12&rft.spage=1449&rft.epage=1449&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=GRANERO-BELINCHON,%20Carlos&MICHEL,%20Aurelie&LAGOUARDE,%20Jean-Pierre&SOBRINO,%20Jos%C3%A9&BRIOTTET,%20Xavier&rft.genre=article


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