Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model – A geo-information based approach

@article{Behera2012ModellingAA,
  title={Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model – A geo-information based approach},
  author={M. Behera and S. N. Borate and S. Panda and P. Behera and P. Roy},
  journal={Journal of Earth System Science},
  year={2012},
  volume={121},
  pages={1011-1024}
}
Improper practices of land use and land cover (LULC) including deforestation, expansion of agriculture and infrastructure development are deteriorating watershed conditions. Here, we have utilized remote sensing and GIS tools to study LULC dynamics using Cellular Automata(CA)–Markov model and predicted the future LULC scenario, in terms of magnitude and direction, based on past trend in a hydrological unit, Choudwar watershed, India. By analyzing the LULC pattern during 1972, 1990, 1999 and… Expand
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References

SHOWING 1-10 OF 30 REFERENCES
Modelling and projecting land-use and land-cover changes with a cellular automaton in considering landscape trajectories: an improvement for simulation of plausible future states
The modelling and projecting of land-use change is essential to the assessment of consequent environmental impacts. In agricultural landscapes, land-use patterns nearly always exhibit spatialExpand
A dynamic modeling approach to simulating socioeconomic effects on landscape changes
TLDR
A dynamic landscape simulation (DLS) approach to elucidate human-induced landscape changes for a 5104 km2 study area within the Chicago metropolitan region and allows selected economic principles to be integrated into landscape simulation. Expand
Response of land use/coverage change to hydrological dynamics at watershed scale in the Loess Plateau of China
Abstract In this study Qiaozidong and Qiaozixi watersheds in Loess Plateau were selected as the case to investigate the effects of land use/coverage change on hydrological dynamics. The resultsExpand
Multicriteria decision approach for land use land cover change using Markov chain analysis and a cellular automata approach
This study used the postclassification change detection approach to identify land use land cover changes in Norman, Oklahoma, between September 1979 and July 1989 using Landsat multispectral scannerExpand
Markov Models of Inertia and Dynamism on Two Contiguous Ohio Landscapes
This study examined landcover change during 1940–1988 in two contiguous landscapes of approximately 12,400 hectares in central Ohio, USA: an inertial till plain area and a more dynamic moraine area.Expand
Land-use planning for sustainable resource development in Kumaon Lesser Himalaya—a study of the Gomti watershed
SUMMARY The Lesser Himalaya, as the most densely populated part of the tectonically active and ecologically sensitive Himalayan mountain ranges, deserves specific attention to the conservation of theExpand
Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore
TLDR
A cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area, is applied to two rapidly growing, but remarkably different urban areas. Expand
Driving factors of forest landscape change in Yiluo River basin
The expansion of agriculture is posited as one of the main dynamics of forest landscape change globally, and the robust modeling of these processes is important for policy as well as academicExpand
Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area
A time series of Landsat MSS and TM images was used to extract land use/cover change data of the Atlanta, Georgia metropolitan area in the United States over the past 25 years as a component ofExpand
Land-use planning for sustainable development
Foundations of Debate Over Land Use in America Property Rights and Responsibilities Our Economic Model Human Migratory Patterns Human Nature Attempts to Modify Conventional Land-Use Planning ZoningExpand
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