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沟壑密度是反映地表破碎程度的重要因子 ,在土壤侵蚀、地貌演变等研究中有重要作用。本文介绍基于数学形态学的沟壑密度提取算法 ,从TM影像中提取沟谷线信息 ,从而有效地解决了土壤侵蚀评价中下垫面表征因子提取问题。并以黄河流域某小流域沟壑密度的计算作了实例验证。
Gully density is an important factor reflecting the degree of surface crushing, and plays an important role in the research of soil erosion and landscape evolution. In this paper, gully density extraction algorithm based on mathematical morphology is introduced to extract the information of valley line from TM image so as to effectively solve the problem of extracting underlying surface characterization factor in soil erosion evaluation. The case study of gully density in a small catchment of the Yellow River Basin was made.