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Validation of evapotranspiration maps from 100-m to the 1-km scale over a semi-arid irrigated agricultural area

hal.structure.identifierInstitut national des sciences de l'Univers [INSU - CNRS]
dc.contributor.authorBAHIR, Malik
hal.structure.identifierInstitut national des sciences de l'Univers [INSU - CNRS]
dc.contributor.authorBOULET, Gilles
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorCHIROUZE, Jonas
hal.structure.identifierEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes [EMMAH]
dc.contributor.authorOLIOSO, Albert
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRIVALLAND, Vincent
hal.structure.identifierNatural Environment Research Council [NERC]
dc.contributor.authorGALLEGO-ELVIRA, Belen
hal.structure.identifierEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes [EMMAH]
hal.structure.identifierUniversitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona [UAB]
dc.contributor.authorMIRA SARRIO, Maria
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMERLIN, Olivier
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorJARLAN, Lionel
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLAGOUARDE, Jean-Pierre
dc.date.accessioned2024-04-08T11:59:02Z
dc.date.available2024-04-08T11:59:02Z
dc.date.issued2014
dc.date.conference2014-09-22
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195970
dc.description.abstractEnEvapotranspiration (ET) estimates are particularly needed for monitoring available water over arid lands. Remote sensing data offer the ideal spatial and temporal coverage needed by irrigation water management institutions to deal with evolving regional water table issues. Low spatial resolution products present strong advantages as they cover larger zones and are acquired more frequently than high spatial resolution images. Further, they usually offer a long record history, such as the Moderate Resolution Imaging Spectroradiometer (MODIS). However, validation of ET products at low spatial resolution still remains a difficult task. The objective of this study is to evaluate instantaneous fluxes obtained through local meteorological observations and remote sensing data (in visible, near infrared and thermal infrared domains) from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER; resampled to 100-m spatial resolution) and MODIS (resampled to 1-km spatial resolution). It was considered the Surface Energy Balance System (SEBS; Su, 2002) and the Two-Source Energy Balance (TSEB; Norman et al., 1995) models. The study zone is a 4 km×4 km semi-arid irrigated agricultural area located in the North-West of Mexico (Yaqui, Sonora; 27°12’N, 109°57’W). Wheat is the dominant crop, followed by maize and vegetables. The ASTER dataset includes 7 dates from December 30, 2007 to May 13, 2008. Daily available MODIS products were considered for the same dates. ET retrievals from ASTER data using both models showed good performances when compared to eddy covariance measurements from 7 locations within the 4 km×4 km square. Next, they were linearly aggregated to the 1-km scale (and considered as the reference ET) and compared to the ET maps obtained using MODIS data considering the SEBS and TSEB models. Further, in order to analyze the effect of the spatial resolution of the inputs, fluxes were also derived by first considering the inputs of the TSEB and SEBS models estimated from ASTER radiances and reflectances previously aggregated to 1-km and then considering all the parameters of both models derived from high spatial resolution ASTER radiances and reflectances before being aggregated to 1-km. MODIS ET estimates compare well with the reference ET (relative bias is about 5% for SEBS and 10% for TSEB). Discrepancies are mainly related to fraction cover mapping for TSEB and vegetation height mapping for SEBS. This is consistent with the sensitivity of each model to these parameters. Low spatial resolution fluxes obtained using both models and ASTER aggregated input data compare well with the reference fluxes, illustrating the relatively good accuracy of using aggregated inputs (relative bias is about 6% for SEBS and 2% for TSEB).
dc.language.isoen
dc.subject.enremote sensing
dc.subject.enradiometer
dc.subject.enthermal infrared
dc.title.enValidation of evapotranspiration maps from 100-m to the 1-km scale over a semi-arid irrigated agricultural area
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleRAQRS'IV, 4th International Symposium on Recent Advances in Quantitative Remote Sensing
bordeaux.countryES
bordeaux.conference.cityValencia
bordeaux.peerReviewedoui
hal.identifierhal-02741336
hal.version1
hal.invitednon
hal.conference.organizerUniversitat de València (UV). ESP.
hal.conference.end2014-09-26
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02741336v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014&rft.au=BAHIR,%20Malik&BOULET,%20Gilles&CHIROUZE,%20Jonas&OLIOSO,%20Albert&RIVALLAND,%20Vincent&rft.genre=conference


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