Markov Intertemporal Land Use Simulation Model
نویسندگان
چکیده
منابع مشابه
Simulation and prediction of land use and land cover change using GIS, remote sensing and CA-Markov model
This study analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. The results inform planners and decision makers of past and current spatial dynamics of land use/land cover change and predicted urban expansion, for a better understanding and successful...
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Analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. In this study, the land use maps in the Ardabil plain in north-west part of Iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. T...
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Land use maps are considered as the most important sources of information in natural resource management. The purpose of this research is to review, model, and predict landslide changes in the 30-year period by LCM model in Shiraz. In this research, TM Landsat 4, 5 and OLI Landsat 8 images were used for 1985, 2000 and 2015 respectively, as well as topographic maps and area coverage. Subsequent ...
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Access to current and future water resources is one of the concerned problems for managers and policymakers around the world. Because of the communication between water resources and land use, these two topics had come together in different researches. Scenarios designed in regional land planning provide the basis for analyzing the existing opportunities and making the right decisions for manag...
متن کاملland use change prediction using a hybrid (ca-markov) model
landsat data for 1992, 2000, and 2013 land use changes for ekbatan dam watershed was simulated through ca-markov” model. two classification methods were initially used, viz. the maximum likelihood (mal) and support vector machine (svm). although both methods showed high overall accuracy and kappa coefficient, visually mal failed in separating land uses, particularly built up and dry lands.there...
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ژورنال
عنوان ژورنال: Journal of Agricultural and Applied Economics
سال: 1973
ISSN: 1074-0708,2056-7405
DOI: 10.1017/s0081305200011110