期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B1
页码：313-318
出版社：Copernicus Publications
摘要：Ungaged basins pose a challenge to hydrological studies as they lack both calibration and validation data for the use of land surface models. Therefore, one has to use the satellite data that is available which describes the aspects/attributes of the basin from a hydrological perspective. Soil moisture is routinely mapped by the Advanced Microwave Scanning Radiometer (AMSR). Vegetation is characterized by MODIS (Moderate Resolution Imaging Spectroradiometer) and surface temperature is estimated using AIRS (Advanced Infra-Red Sounder) as well as MODIS. Precipitation is measured (in the tropical regions) from the TRMM (Tropical Rainfall Measuring Mission) Microwave Imager (TMI) with the Global Precipitation Mission (GPM) due to be launched in a few years. The synergistic use of these data sets along with hydrological models would help us to (a) input precipitation and vegetation information into a hydrological model and calculate the soil moisture and surface temperature using the water and energy balance equations (b) the measured soil moisture and surface temperature can be used in two ways (i) to calibrate certain model parameters (ii) to verify the output of the model through validation. The overland runoff from the hydrological model would be routed in the stream channel network (obtained from the Digital Elevation Data) to obtain the streamflow at the catchment outlet. This would help in estimation of the water resources for the watershed. This paper will describe the state of the art knowledge in combining remote sensing, hydrological modeling and data assimilation
