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Evapotranspiration and water stress retrieval performances of single-pixel energy balance models over irrigated and rainfed agricultural crops

hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorBOULET, Gilles
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMOUGENOT, Bernard
hal.structure.identifierInstitut National Agronomique de Tunisie [INAT]
dc.contributor.authorLILI-CHABAANE, Zohra
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorFANISE, Pascal
hal.structure.identifierEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes [EMMAH]
dc.contributor.authorOLIOSO, Albert
hal.structure.identifierInstitut national des sciences de l'Univers [INSU - CNRS]
dc.contributor.authorBAHIR, Malik
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRIVALLAND, Vincent
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorJARLAN, Lionel
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorCOUDERT, Benoît
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLAGOUARDE, Jean-Pierre
dc.date.accessioned2024-04-08T11:59:17Z
dc.date.available2024-04-08T11:59:17Z
dc.date.issued2014
dc.date.conference2014-09-22
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195986
dc.description.abstractEnEvaporation is an important component of the water cycle, especially in semi-arid lands. Its quantification is crucial for a sustainable management of scarce water resources. Up-to-now, evaporation at large scales is estimated through integrated water balance models forced by distributed meteorological forcing. This forcing includes irrigation inputs from surface and groundwater uptakes. Those amounts are largely unknown at most scales, including the regional scale, i.e. the working scale of institutional stakeholders. An alternative way to quantify evapotranspiration is to exploit the available surface temperature data from remote sensing as a signature of the surface energy balance, including the latent heat flux. Remotely sensed energy balance models enable to estimate stress levels and, in turn, the water status of most continental surfaces. Single-pixel energy balance models such as SEBS (Su, 2002) or TSEB (Norman et al., 1995) are particularly well suited to derive evapotranspiration at high and low resolution over a wide range of land use and landscape types. Two source models, such as TSEB, are interesting since they allow deriving a rough estimate of the water stress of the vegetation instead of that of a mixed surface. Such frameworks can be used with either component surface temperatures (soil and vegetation components retrieved from directional surface temperature data) or a single mixed surface skin temperature. For the latter, a realistic underlying assumption enables to invert two unknowns (evaporation and transpiration) from a single piece of information. This assumption states that, in most cases, vegetation is unstressed, and that if vegetation is stressed, evaporation is negligible. In the latter case, if vegetation stress is not properly into account, the resulting evaporation will decrease to unrealistic levels (negative fluxes) in order to maintain the same total surface temperature. This work challenges the limits of such hypothesis by 1- studying evaporation and transpiration retrievals using two versions (parallel and series resistance networks) of a two source energy balance model similar to TSEB, and 2- testing the water stress retrievals (vegetation water stress and moisture-limited soil evaporation) over contrasted test sites in Tunisia (irrigated wheat, rainfed wheat, rainfed olive tree) and Mexico (irrigated wheat). Results show that stress retrievals are most of the time consistent, in their occurrence at least rather than in their exact intensity. However, over a limited number of situations, none of the algorithms converge to a realistic level. Series and parallel resistance networks have similar performances for total evapotranspiration retrievals but lead to different evaporation/transpiration partitions. Bounding relationships and temporal consistency tests are proposed to ensure that convergence is reached at all times to provide robust estimates of evaporation and transpiration.
dc.language.isoen
dc.subjecttélédétection
dc.subjecttempérature de surface
dc.subjectbilan d'énergie
dc.subjectévaporation
dc.title.enEvapotranspiration and water stress retrieval performances of single-pixel energy balance models over irrigated and rainfed agricultural crops
dc.typeCommunication dans un congrès
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-02740651
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-02740651v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014&rft.au=BOULET,%20Gilles&MOUGENOT,%20Bernard&LILI-CHABAANE,%20Zohra&FANISE,%20Pascal&OLIOSO,%20Albert&rft.genre=unknown


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