遥感在生态水文模型中的应用进展  

Advances in Application of Remote Sensing in Ecohydrological Modeling

作　　者：陈腊娇[1] 王力哲[1] 

机构地区：[1]中国科学院对地观测与数字地球科学中心,北京

出　　处：《气候变化研究快报》2012年第3期106-112,共7页Climate Change Research Letters

摘　　要：遥感数据具有周期短、信息量大和成本低的特点,在生态水文模型中具有广泛的应用前景。本文从生态水文模型的概念出发,阐述了将遥感技术应用于生态水文模型的必要性,在此基础上总结了遥感在生态水文模型中的应用现状,最后,对遥感在流域生态水文模型应用中存在的关键问题(如遥感数据的不确定性、遥感的时空尺度与水文模型的不匹配、遥感数据与其他输入数据的空间尺度不兼容、模型参数估计与遥感数据同化)进行讨论。随着遥感技术的进步,高光谱、多波段数据的不断涌现,流域生态模拟的输入数据更加丰富和多样化,数据同化技术作为多源数据的融合和集成的重要手段,将极大推动遥感生态水文模型中的应用。Remote sensing, with advantages of short period, abundance information, low cost, plays an important role in ecohydrological modeling. This paper firstly introduces the characteristics of ecohydrological model and their requirement for remote sensing data. Then the paper provides a perspective on current state of application of remote sensing in eco-hydrological modeling. The key problems of the application of remote sensing in ecohydrological modeling are addressed (i.e., the complex issues of uncertainty, scale mismatching et al.) which may be solved by data assimilation. With the development of remote sensing technology, hyperspectral and multispectral image becomes more and more popular, which will expand the application of remote sensing in ecohydrological modeling.

关 键 词：遥感 生态水文模型 应用 数据同化 

分 类 号：P33[天文地球—水文科学]