中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrating remote sensing with GIS-based multi-criteria evaluation approach for Karst rocky desertification assessment in Southwest of China

文献类型:会议论文

作者Zhang, Z.; Xu, W.; Zhou, W.; Zhang, L.; Xiao, Y.; Ou, X.; Ouyang, Z.
出版日期2014
会议名称8th International Symposium of the Digital Earth (ISDE)
会议日期AUG 26-29, 2013
会议地点Univ Teknologi Malaysia, Inst Geospatial Sci & Technol, Kuching, MALAYSIA
英文摘要The increasing exploitation of Karst resources is leading to severe environmental impacts, as Karst frequently occurs in the most fragile and vulnerable environments. This paper presents a multi-criteria evaluation (MCE) approach in a spatial context to support Karst rocky desertification (KRD) assessment by integrating remote sensing data with GIS. The study area is located in Wenshan Prefecture, Yunnan Province, Southwest of China. Criteria and impact factors for KRD first were identified and weighted through pairwise comparison method. A GIS fuzzy set membership function was then used to generate gradient effects of each criterion, and a clustering method based on K-mean algorithms was used to classify KRD into several descending rank zones (or levels). Both ROC and error matrix assessments indicated that the MCE approach is better than the NDVI approach. In addition, we found it is useful to integrate the topographic and human disturbance factors into KRD mapping and assessment, compared with most of the previous KRD assessment studies mainly focused on developing vegetation or land cover information in karst regions by using remote sensing alone. Furthermore, the integrated MCE approach is robust, flexible, and easy to be implemented. It also explicitly includes the quantitative and qualitative information, for instance, opinions of decision makers and experts as well as characteristics of the landscape.
ISSN号1755-1307
源URL[http://ir.rcees.ac.cn/handle/311016/24564]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Zhang, Z.,Xu, W.,Zhou, W.,et al. Integrating remote sensing with GIS-based multi-criteria evaluation approach for Karst rocky desertification assessment in Southwest of China[C]. 见:8th International Symposium of the Digital Earth (ISDE). Univ Teknologi Malaysia, Inst Geospatial Sci & Technol, Kuching, MALAYSIA. AUG 26-29, 2013.

入库方式: OAI收割

来源:生态环境研究中心

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