基于MODIS的水文特征指标提取与应用研究

Study on Extraction and Application of Hydrological Characteristics

流域水文模拟的效果很大程度上取决于输入数据,然而往往由于缺乏足够的、合适的数据导致不能很好地描述水文过程。遥感信息可以较准确地确定土地利用、覆被情况并提取相关水文特征指标,根据模型参数的物理意义直接或辅助确定有关参数,有助于减小参数率定的不确定性及水文模型在无或少资料地区的推广应用。研究采用MODIS遥感数据和定量化的遥感技术,针对土地利用分类体系的确立和水文特征指标的提取对流域水文模拟的影响进行研究,为最终的数字流域水文模型研制建立理论基础,并探寻可行的技术方案。

Hydrological simulation largely depends upon inputted data, but lack of adequate and sufficient data often has impact on providing a good description of hydrological processes. Remote sensing information can accurately define land use and cover situation, and also can be used to extract corresponding hydrological characteristics. Direct or assistant parameter determination in accordance with physical significance of model parameters is helpful for reducing uncertainty of parameter calibration, and population of hydrological model in the region where less or no data is available. With quantified remote sensing technology and MODIS data, a research is performed on the influence of land use classification system and extraction of hydrological characteristics upon river basin hydrological simulation, laying theoretical basis for the development of digital river basin hydrological model. Feasible technical scheme is also discussed.