基于MODIS数据的松辽平原土地退化宏观评估

该文利用植被指数、最小噪声化变换、纯净像元指数和匹配滤波等遥感信息定量分析方法，从MDDIS陆地观测数据中提取反映松辽平原土地退化状况的植被覆盖、盐碱化和沙漠化信息，实现土地退化制图及土地退化格局分析。MODIS数据及其定量分析技术，对干旱区与半干旱区土地退化的宏观监测具有重要作用。

Macroscopic Assessment of Land Degradation in the Songliao Plain Using MODIS Data

The Songliao Plain lies in the eastern fringe of huge sandy belt of mid-latitude in Eurasia,and is a part of north ecotone in China.Its climate is continental semi-humid and semi-arid climate.In the western portion of the Songliao Plain,the climate gradually becomes semi-arid.Soda-solonchak and sandy soil are common.Along with the intensifying of human disturbance on ecological environment,the degradation of ecological environment is serious progressively.The Land degradation,such as saline-alkaline desertification,sandy desertification and grassland degradation,is obvious increasingly.In this paper,the land degradation information,including sandy soil,saline-alkaline soil and vegetation,is extracted from MODIS data by the methods of image quantitative analysis,such as NDVI,Minimum Noise Fraction(MNF),Pixel Purist Index(PPI) and Matched Filtering(MF),et al.Then,the land degradation is divided into four grades according to the richness maximum of sandy soil or saline-alkaline soil.The pattern of land degradation in the Songliao Plain is analyzed.MODIS data and its analytical methods are useful to monitor macroscopically the land degradation in the arid and semi-arid region.