CIS-Based Multi Criteria Analysis to Evaluate Land Degradation in Southern Italy
This paper introduces a Multi Criteria Analysis (MCA) decision technique, called Analytical Hierarchy Process (AHP) in a Geographic Information System (GIS) environment to evaluate topographic factors which are playing important rule to initiate and develop land degradation as a kind of environmental hazard in southern Italy. The controlling factor on land degradation would be a crucial factor for the conservation planning and sustainable development. Therefore, it is shown that AHP and GIS using remote data can improve making decision on selecting the most effective control factor and consequently, to prevent the risk of land degradation. ASTER data has been applied to construct topographic factors like, Digital Elevation Model (DEM), slope, aspect, flow accumulation, and Normalized Difference Vegetation Index (NDVI) image for the purpose of research. As an index for land degradation, the density of gully networks have been calculated using Gary Level Co-Occurrence Matrix (GLCM) method to prepare texture image and enhance the network of gullies. The conclusion from five sample areas presents that some of the topographic indexes are reasonably the major factors. However, land cover is an effectual factor to reduce land degradation development which it was anticipated. The result of the AHP approach would be improved using more environmental factors such as rainfall, soil type, and geology formation.
Alireza Ghaffari Qiuming Cheng
Department of Earth and space Science & Engineering, York University, 4700 Keele Street, Toronto, Canada, M3J 1P3
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
155-158
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）