以TM(Thematic Mapper)和SPOT(Satellite Positioning and Tracking)影像为基础数据，通过地形纠正、去云雪、辅助数据生成和分区等预处理之后，采用一种新颖的影像分割法，将待提取图像分割成可以识别的图像单元（图斑），然后通过分层分类和模糊分类相结合的方法自动获取了三峡库区各种林地的分布状况，并取得了较高的验证精度。对获取的林地进行覆盖度自动划分后，通过人工纠正得到了三峡库区高、低覆盖度林地的确切分布，最后做了成图和面积统计。

Taking Thematic Mapper(TM) and Sattellite Positioning and Tracking(SPOT) images as the basic data, the research segments the images into identifiable image cells using a new method of segmentation after the preprocessing of terrain correction, elimination of cloud and snow, and establishment of subarea.And then, the research extracts automatically the distribution of forestlandusing the combinative method of hierarchical classification and fuzzy classification in a higher precision verification. The forestland extracted is classified in the aspect of coverage rate, and the exact distribution of high and low-coverage forestland in Three Gorges Reservoir Area is obtained by manual modification, and then, the results are made up maps and area statistics.