论文部分内容阅读
遥感技术被认为是可以定量估算区域尺度蒸散发的唯一可能途径,近年来发展迅速。根据遥感蒸散发模型的基本原理,指出遥感蒸散发模型在反演蒸散发时可能会面临气象数据空间插值及地表温度订正引起的不确定性问题。围绕如何解决这两类不确定性问题,总结了遥感蒸散发模型的发展历程,介绍了代表性模型的基本原理、假设、优缺点及误差来源,剖析了空间歧义性问题的产生缘由及干湿限的概念内涵,对地表参数、时间拓展、空间尺度及模型验证、遥感数据和陆面过程模型的同化等遥感蒸散发模型应用中不可避免的问题进行了简要分析。最后对遥感蒸散发模型的发展趋势进行了探讨。
Remote sensing technology is considered as the only possible way to quantitatively estimate regional scale evapotranspiration, which has been developing rapidly in recent years. According to the basic principle of remote sensing evapotranspiration model, it is pointed out that the remote sensing evapotranspiration model may face the uncertainties caused by space interpolation of meteorological data and correction of surface temperature when invert evapotranspiration. Focusing on how to solve these two types of uncertainties, this paper summarizes the development of remote sensing evapotranspiration model, introduces the basic principles, assumptions, advantages, disadvantages and sources of the representative models, analyzes the causes of spatial ambiguity problems, The connotation of the concept is introduced. The unavoidable problems in the application of remote sensing evapotranspiration models such as surface parameters, time extension, spatial scale and model verification, remote sensing data and assimilation of land surface process model are briefly analyzed. Finally, the development trend of remote sensing evapotranspiration model is discussed.