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University of Idaho (2003)

Progress in operational estimation of regional evapotranspiration using satellite imagery

Tasumi, Masahiro

Titre : Progress in operational estimation of regional evapotranspiration using satellite imagery

Auteur : Tasumi, Masahiro

Université de soutenance : University of Idaho

Grade : Doctor of Philosophy (PhD) 2003

Résumé
This dissertation presents a developed remote sensing model named SEBAL-ID, which estimates evapotranspiration (ET) from satellite images. The operationally usable remote sensing model was developed for Idaho and western United States conditions by refining the SEBAL (Surface Energy Balance Algorithm for Land) algorithm developed by Bastiaanssen in 1995. The original algorithm has been successfully applied in the world especially in developing countries. In the SEBAL Algorithm, ET from land surfaces is estimated by solving the land surface energy balance for each pixel of a satellite image. The instantaneous (satellite image time) ET is estimated as a residual of the energy balance at the land surface, and the estimated instantaneous value is extrapolated to 24-hour and seasonal ET, which are the final products of SEBAL. The refinements in SEBAL-ID include the application to mountainous regions, an increase in the reliability of estimates by adopting an internal calibration procedure using public weather data, and modifying empirical equations. The proposed model was applied in southern Idaho, and agreed well with lysimeter measured ET data. This dissertation presents results of many analyses with SEBAL-ID, which are valuable not only to SEBAL-ID users but also to SEBAL users around the world. The analyses cover the following topics : surface albedo estimation, estimated LAI by satellite image analyses, effect of atmospheric correction in surface temperature estimation, effect of elevation on surface temperature, ground heat flux estimation method and accuracy, impact of surface roughness for momentum transport, the sensible heat estimation method, windspeed and surface temperature relation, use of a soil water balance model in SEBAL-ID and the behavior of the ET r fraction. The developed model, SEBAL-ID, has already been applied for actual water resources management in Idaho State by the state agency Idaho Department of Water Resources.

Mots clés : Applied sciences, Remote sensing, Geophysics, Earth sciences, Pure sciences, Atmosphere

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