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：2008
卷号：XXXVII-B8
页码：795-804
出版社：Copernicus Publications
摘要：In this thesis, we build a relationship between Remote Sensing information and water depth to calculate and analyze the elevation of the riverbed. Combining with the water level elevation data, we can obtain the height being raised by soil loss and infer the soil loss quantity in different years. Nanjishan wetland which locates in the middle of Poyang Lake is selected as the research area. We choose three TM images which were taken by Landsat in almost same temporal season but in different years as the research object. In order to find out the soil loss quantity change status conveniently, we pick out the year of 1976, 1988, 2000 as the research duration. We first do some preparation on the original TM images to make sure each corresponding bands to be normalized. Because of the band 1, band 2 and band 3 of TM image can detect the water body and water depth in shallow water surface, we uses this characteristics to build a formula to obtain the depth of water in the riverbed. We choose three-band linear regression algorithm to calculate the water depths. Because the three-band linear regression algorithm can attenuate the affection of water quality and riverbed type. So we get the water depths of each year in 1976, 1988, 2000. At last we get the result, that during 80s and 90s, the sand accumulation in research area is more serious than that during 90s and 2000s
