通过"热增强"方法,充分利用MODIS数据的时间分辨率和空间分辨率的优势,基于对SEBAL模型改进的基础上,反演并验证了山东省的地表蒸散。结果表明,蒸散反演结果与实测值具有很好的一致性,日平均相对误差约为-11.34%。同时分析了研究区2005年和2006年不同土地利用/覆盖类型下蒸散的逐月变化规律,发现水域的月平均蒸散量最大,其次为水田,林地、旱田和草地基本相当,人工用地的月平均蒸散量最小。
The idea of the spatial local similarity is introduced to improve the thermal enhance method for fully using the ad- vantages of the temporal and spatial resolutions of MODIS data. Based on the modified Surface Energy Balance Algorithm for Land (SEBAL) model and MODIS products, the retrieval and the verification of the regional surface evapotranspiration(ETo) in Shandong Province show that the simulation results of the remote sensing model are in good agreement with those in situ ob- servation, and the mean daily relative errors are about -11.34 %. The monthly changes of ETo in different land use and land cover (LULC) types in 2005 and 2006 are analyzed. It is found that the monthly average ETo is highest in water areas, fol- lowed by paddy fields. A similar ETo variation is found over woodlands, dry lands and grasslands. The ETo minimum is ob- tained on urban lands.