This research attempt to establish a grass cover change model based on cellular automata. It took the relationship between elevation, slope, aspect, settlement, road, water system and grass cover change as the foundation of the model, the dynamic progress of grass cover change was expressed by using cellular automata, the grass cover change model based on the basic geographical control condition which has been mentioned in above paragraph was constructed. The grass cover state of Madoi County in 2003 was simulated, and has been compared with the actual state of Madoi County in 2003. It was found that the grass cover change model has a high precision. The value of kappa index has reach 0.8801.
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© 2008 IFIP International Federation for Information Processing
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Zhang, S., Zhao, J., Li, L. (2008). Grass Cover Change Model Based on Cellular Automata. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume II. CCTA 2007. The International Federation for Information Processing, vol 259. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77253-0_11
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DOI: https://doi.org/10.1007/978-0-387-77253-0_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-77252-3
Online ISBN: 978-0-387-77253-0
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