应用Landsat数据和SEBAL模型反演区域蒸散发及其参数估算

随着遥感技术的进步,人们发展了多种通过遥感计算区域蒸散发的方法。SEBAL模型是通过遥感反演地面蒸散的典型方法,它以陆面能量平衡为基础,物理意义明确,只利用遥感影像和少量的气象数据（风速、气温）就能反演蒸散量。Landsat数据的波谱信息丰富、空间分辨率高,数据源稳定,是通过遥感技术反演蒸散发的理想数据源。如果能合理地估算SEBAL模型中的基本参数,将会获得较高精度的反演结果,能够满足在水文、生态、林业等研究或应用中的需要,对区域水资源的管理与利用具有重要意义。从SEBAL模型的基本原理出发,分析了利用SEBAL模型采用Landsat的TM/ETM+数据反演区域蒸散发的基本过程,针对TM/ETM+数据特点对模型所需要的基本参数进行估算求解,为SEBAL模型在蒸散量反演中的广泛应用提供了一定的指导。

Applying Landsat Data and SEBAL Model to Inverse Regional Evapotranspiration and Its Parameters Estimation

With the advancement of remote sensing technology,many methods based on remote sensing have been developed to calculate regional evapotranspiration.SEBAL model is based on land surface energy balance and its physical meaning is clear.Evapotranspiration amount can be inversed by using remote sensing images and little meteorological data (wind velocity and air temperature).Landsat data has abundant spectral information,high spatial resolution and stable data resource; it is ideal data for inversion evapotranspiration through remote sensing technology.If parameters of SEBAL model can be accurately and exactly estimated,the inversion precision will be high and can meet the need of hydrology,ecology and forestry study and application.This paper analyzed the process of inversion evapotranspiration through SEBAL and Landsat TM/ETM+ data in detail,and summarized the previous research results,then estimated the parameters of the SEBAL model.This study can provide certain guide for the wide application of SEBAL model in the calculation of regional evapotranspiration amount.