Quantitative Prediction of Karst Rocky Desertification Deterioration Based on RS and GIS: A Case Study of Typical Karst Rocky Desertification Area of Du’an County, Guangxi
1. Institute of High and New Techniques Applied to Land Resources, China University of Geosciences, Beijing 100083, China; 2. Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China; 3. Forestry College, Beijing Forestry University, Beijing 100083, China; 4. Forage and Feed Station of Guizhou Province, Guiyang 550001, China; 5. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
Abstract：Taking Du’an County of Guangxi as the study area,using the TM remote sensing images acquired in 1999 and 2009 as the data source, adopting RS and GIS as the technical means and platform, and utilizing the carbonate rock type, land use type,karst landform type,slope of the terrain and population density as the influencing factors, the authors calculated the rocky desertification deterioration index(RDDI) by using the analytical hierarchy process-certainty factor(AHP-CF) method,and then predicted the trend of rocky desertification deterioration quantitatively with RDDI as parameters. The prediction results can provide a scientific basis for making a prospective and specific plan concerning ecological environment protection and recovery and promote the work of rocky desertification prevention and control.
程洋, 陈建平, 皇甫江云, 童立强. 基于RS和GIS的岩溶石漠化恶化趋势定量预测——以广西都安瑶族自治县典型岩溶石漠化地区为例[J]. 国土资源遥感, 2012, 24(3): 135-139.
CHENG Yang, CHEN Jian-ping, HUANGFU Jiang-yun, TONG Li-qiang. Quantitative Prediction of Karst Rocky Desertification Deterioration Based on RS and GIS: A Case Study of Typical Karst Rocky Desertification Area of Du’an County, Guangxi. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 135-139.
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2012, Vol. 24 
