TANG Rongbin1,2,3, HUANG Guiyun2, QIU Liwen2, HU Meixiang2, FU Meichen3, WANG Li4, HUANG Ni4, GUO Yinhua1,2, LI Hao1,2

（1. Centre for Biological Diversity, China Three Gorges Corporation, Hubei Yichang, 443100;
2. National Engineering Research Center of Eco-Environment Protection for Yangtze River Economic Belt, Beijing, 100038;
3. School of Land Science and Technology, China University of Geosciences(Beijing), Beijing 100083, China;
4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China）

Abstract： The degree of rocky desertification is to describe the development degree and spatial distribution of rocky desertification in a specific time and space, which is the most direct reflection of the severity of rocky desertification. The division rocky desertification degree can clarify the scope, area, severity and distribution of rocky desertification. In this study, based on the southwest of two different landscape niche — fracture basin niche karst plateau niche, Landsat data from 1995 to 2015 were selected and constructed the fuzzy classification using fuzzy reasoning system. Additionally,the scientificity and applicability of the fuzzy classification method are verified from the three aspects of fuzzy classification accuracy, comparison with monitoring data and sampling results.In this study, based on the southwest of two different landscape niche —— fracture basin niche karst plateau niche, Landsat data from 1995 to 2015 were selected and constructed the fuzzy classification using fuzzy reasoning system. Additionally, the scientificity and applicability of the fuzzy classification method are verified from the three aspects of fuzzy classification accuracy, comparison with monitoring data and sampling results.

Key words：karst; rocky desertification degree; fuzzy inference system; remote sensing inversion; Fault basin; Karst Plateau

EARTH AND ENVIRONMENT Vol.51, No.4, Tot No.354, 2023, Page 441