Mapping surface fluxes using airborne visible, near infrared, thermal infrared remote sensing data and a spatialized surface energy balance model

F. Jacob, A. Olioso, X.F. Gu, Z. Su, B. Seguin

    Research output: Contribution to journalArticleAcademicpeer-review

    80 Citations (Scopus)

    Abstract

    A spatialized surface energy balance model was validated over the database acquired in the framework of the ReSeDA program. The benefit of the SEBAL model we considered was to compute wind speed and air temperature using the information contained in the spatial variability of convective fluxes. The multitemporal database allowed performing a validation over cycles of several crops. Problems induced by mixed pixels were reduced using high spatial resolution remote sensing data. We verified the validity of the model basic assumption, i.e. the simultaneous presence of partial areas with very high and very low evaporation rates, and the resulting relation between surface temperature and albedo. Besides, the model provided estimates of wind speed and air temperature close to the field references. The validation of soil heat flux showed the inadequacy of the empirical relationship used through a significant underestimation of the references. The validation of sensible heat flux provided similar results as compared to previous studies that dealt with model validations over databases including numerous situations
    Original languageEnglish
    Pages (from-to)669-680
    JournalAgronomie
    Volume22
    Issue number6
    DOIs
    Publication statusPublished - 2002

    Keywords

    • difference vegetation index
    • soil-water content
    • leaf-area index
    • satellite data
    • heat-flux
    • hemispherical reflectance
    • semiarid rangeland
    • thematic mapper
    • regional-scale
    • sensed data

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