水土流失遥感调查中植被覆盖度因子提取研究

植被覆盖度是水土流失的主要影响因子,而利用遥感影像判读可以快速有效地获得大范围的植被覆盖度。简要介绍了水土流失遥感调查中植被覆盖度因子提取的方法。基于遥感与实地野外调查数据,采用MODIS时序数据融合高分遥感数据的方法,以湖南省蓝山县为试验区,对植被覆盖度因子进行了提取。结果表明,该方法提取植被覆盖度因子的结果较理想。提出的植被覆盖度因子提取方法对今后的水土流失动态监测研究具有重要的理论意义和实践意义。

Study on extracting of vegetation coverage in remote sensing investigation of soil and water loss

Vegetation coverage is a major factor influencing soil and water loss and it can be obtained in a large scale more quickly and effectively through interpretation on remote sensing images. This paper briefly presents the extracting mechanism of vegetation coverage factor in remote sensing survey image of soil and water loss. Based on remote sensing and field survey data, and by taking Lanshan County of Hunan Province as experimental area, the vegetation coverage factors were extracted by integrating methods of MODIS time series data and high spatial remote sensing data; The experiment showed a positive result. The proposed method provides reliable scientific basis for the dynamic monitoring on soil and water loss in the future and has theoretical and practical significance.