基于影像区域合并分割技术的植被覆盖分级研究——以三峡库区小江流域为例

Study of Classification of Vegetation Coverage Based on Regional Image Combination and Segmentation--A Case Study in Xiaojiang Valley of Three Gorges Reservoir Area

以影像区域合并分割技术为基础,综合运用相关GIS和RS软件,提出了植被覆盖分级研究的新方法。以三峡库区小江流域为例,以2002年的TM图像为信息源,结合研究区的地形图、GPS野外采样数据、植被指数和DEM等,对研究区的植被覆盖进行了分级研究。研究表明,三峡库区小江流域的植被覆盖总体上分布不均,但与流域区位及海拔高度呈现一定的规律性空间分布格局。这一研究对确定水土流失强度等级具有十分重要的意义,也为其它的遥感影像分析应用提供参考。

Based on the technique of image combination and segmentation,applying GIS and RS software, such as eCognition,ARC/INFO and ERDAS,a new method was put forward to research the classification of vegetation coverage in Xiaojiang Valley of three gorges reservoir area.The remote data of TM, the relief maps, the sampling data which comes from the GPS, the DEM data, the NDVI and so on of the valley were used in this research.The data obtained from it ,which indicates that the vegetation coverage exhibited an uneven spatial distribution ,but it also have some relations with the reach and the altitude ,which are beheved of importance in determining soil erosion intensity, will be used by the related government departments in working out measures of protecting the forest ecosystem and preventing soil erosion and vegetation deterioration.Also,the technique of image combination and segmentation can be used to other studies,for it is superior to the other methods of deriving information from the remote sensing images data.