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[1]ZHU Meng,MA Xiao-yi,LIU Xue-jiao.Dynamic Changes of Land Use/Cover Based on Markov Model in Wugong County, Shaanxi Province[J].Research of Soil and Water Conservation,2013,20(05):64-68.

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Dynamic Changes of Land Use/Cover Based on Markov Model in Wugong County, Shaanxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 20 Number of periods: 2013 05 Page number: 64-68 Column: Public date: 2013-10-28

Title:: Dynamic Changes of Land Use/Cover Based on Markov Model in Wugong County, Shaanxi Province

Author(s):: ZHU Meng¹, MA Xiao-yi¹, LIU Xue-jiao²; 1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China;
2. College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: remote sensing; land use/cover; Markov model; Wugong County of Shaanxi Province

CLC:: F301.24

DOI:: -

Abstract:: Based on the interpretation for land use/cover map from Lansat 5-TM remote sensing images of Wugong County, Shaanxi Province in 2006 and 2009, transfer probability matrix of the areas were calculated. Then the land use dynamic change trend of Wugong Country in the next 12 years was simulated and predicted by using Markov model. The results indicated that the value of W is 99.99% by introducing model effect coefficient to test this model, proving that using this model to predict the land use dynamic change is reliable. Activity is the main cause to change in land cover pattern in Wugong County. The results show that Wugong County land use change trend of agricultural land was decreasing year by year, among this, the cultivated land area and vegetable field area were reduced by 5.74% and 0.74%. But the construction land and traffic land increased, the area increased by 6.29% and 0.57%; while the waters and special land area change is unconspicuous. This result indicates that the contradiction between agricultural land and construction land and its development trend is clear, and it is meaningful to serve as a scientific basis for land planning and management.

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