| The complexity,vulnerability and diversity of ecological environment in karst mountain area in Guizhou province making the ground surface easily turn into rocky desertification land with the long-term weathering and erosion,which seriously hinder the sustainable development and the efficiency of agricultural production and social economy in mountainous area,and posing a threat to the survival of mankind in the mountainous area of Karst.In order to monitor and manage the area of rocky desertification information in real-time,fast and efficiently,this paper selects the Guanling County,the typical Karst mountain area of Guizhou Province,as the research area.Integrated use of Object-oriented Classification,Comparison Analysis Method,Analytic Hierarchy Process(AHP)and Entropy Method and the Weighted Average Method for the evaluation of landscape unit based on rocky desertification degree of rocky desertification quantitative extraction and rocky desertification degree impact factor and the quantitative relationship between the surface structure of coupling analysis,implement GuanLing County rocky desertification of karst mountain area information quantitative evaluation with “3S” integration technology,based on the lithologic and soil thickness datas and multi-source data such as: the high resolution image(ZY3),Landsat TM5 image,the hyperspectral image(HJ-1A-HSI),the radar image(RADARSAT-2),and quantificationally extracting factors of rocky desertification degree based on rocky desertification landscape unit as well as the coupling analysis the quantitative relationship between rocky desertification degree and the surface structure,so achieve the information quantitative evaluation on rocky desertification in karst mountain area in GuanLing County and then do accuracy verification and error analysis for the automated quantitative extraction results based on the actual data obtained after field verification.The results of the study show that:(1)Landscape units partitioning results based on the multi-factor coupling calculation excludes all the area that not occur in rocky desertification land area,therefore,the scope of research has been gradually narrowed to the evaluation landscape unit for the classification of rocky desertification only for the related units of rocky desertification,which is more conducive to the high precision quantitative assessment for later rock desertification.(2)The distribution characteristics of Guanling County rocky desertification land area of rocky desertification land distribution: rocky desertification land distribution is the most,accounting for 56.09% of the total area of karst area;Non rocky desertification of Karst area secondly,accountting for 26.65% of the total area;The potential desertification land distribution is the least,accountting for 17.26% of the total area of Karst region.(3)The distribution characteristics of rocky desertification land area in different degrees in Guanling county as follows: moderate rocky desertification(54.87%)> mild rocky desertification(23.52%)> severe rocky desertification(20.86%)> extremely severe rocky desertification(0.75%).(4)The total accuracy of rocky desertification assessment in Guanling County based on multi source high score remote sensing is 84.41%,and the consistency coefficient of Kappa is 0.798.Among the different degrees rocky desertification assessment,the accuracy of the non rocky desertification land is the highest,reaching 93.36%;The highest precision of the rocky desertification user is the smallest,which is 71.87%;The middle rocky desertification producer has the highest accuracy,90.08%,and the potential rocky desertification producer has the lowest accuracy 74.80%.(5)There are different degrees of error evaluation among different rocky desertification conditions and degrees,and the total error of rocky desertification error assessment is 15.59%.The errors of non rocky desertification,potential rocky desertification,mild rocky desertification,moderate rocky desertification,severe rocky desertification and extremely severe rocky desertification were 6.64%,15.12%,26.54%,11.67%,21.02% and 28.13% respectively. |
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