Application of Geo-informatics in the Prediction of Land Use Changes at the Phu Toei National Park

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Phongsiri Poonperm
Wanchai Arunpraparut
Prasong Saguantam

Abstract

            The objective of this study was to apply geo-informatics in the prediction of land use changes at the Phu Toei National Park. The visual interpretation classification technique was used to classify the land use during the years 1995, 2007, and 2019. Markov chain and Cellular Automata were then used as a tool to predict the land use in 2031.


            Our results indicate that the study area covered around 864.31 km2, consisting of Phu Toei National Park and a surrounding area within a radius of 3 km. from the boundary of the National Park. Land use was classified into 5 types consisting of forest land, agricultural land, urban and built-up land, water bodies, and miscellaneous. Data analysis revealed that during 1995 – 2007, land use changes occurred in an area of size 84.76 km2 or 9.81% of the total area. The ratio of change in land use area indicated that the forest land had the highest change of around 42.38 km2 or 50%. The area under agriculture increased by 35.17 km2 or 41.49%. In 2007 – 2019, the land use change occurred in an area of around 5.96 km2, which was 0.34% of the total area. The ratio of land use changes indicated that area classified as forest type changed at the highest rate by 2.98 km2 or 50%. The area under urban and built-up land increased by 1.89 km2 or 31.67%. The overall accuracy of prediction using CA - Markov model was 84.55%. Cellular Automata predicted land use during 2031 under forest land, agricultural land, urban and built-up land, water bodies, and miscellaneous areas of 589.60, 257.19, 2.87, 14.64, and 0.01 km2, respectively. The conversion of forest land to agricultural land needs proactive surveillance measures and appropriate land use problem solving, especially in Ban Ta Pern Kee, Ban Kluai, Ban Ong Phra, Ban Wang Nhormai, Ban Nong Eenag, Ban Huai Hindam, Ban Wangyao, Ban Wang Jorakhae, Ban Lawawangkwuai, and Ban Wang Hora.


Keywords: Geo-informatics, Land use change, CA-Markov, Phu Toei national park

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References

Department of National Park Wildlife and Plant Conservation. 2010. The Central and Eastern national parks. National Park Office. Department of National Park Wildlife and Plant Conservation, Bangkok

Eastman, Ronald J. 2006. IDRISI Andes Guide to GIS and Image Processing. Clark Labs, Clark University, USA

Eastman, Ronald J. 2016. Terrset Geospatial Monitoring and Modeling System Manual. Clark Labs, Clark University, USA

E.T.Jaynes. 2003. Probability Theory The logic of Science. Cambridge University, USA

Grainger, A. 1990. Modeling Deforestation in the Tropics 349 p., In: Deforestation or Development in the Third World Vol. III., Finish Forest Research Institute, Division of Social Economic of Forestry, Helsinki, Finland.

Land Development Department. 2003. The Data of Classification Land use type. Ministry of Agricultural and Cooperatives, Bangkok

Office of Natural Resources and Environmental Policy and Planning. 2548. Complete report on the improvement of the watershed classification scheme and recommendations for land use measures in the Ping-Wang River Basin According to the cabinet resolution on 28 May 1985. Office of Natural Resources and Environmental Policy and Planning. Ministry of Natural Resources and Environment, Bangkok

Takeyama, M. and H. Couclelis. 1997. Map dynamics: integrating cellular automata and GIS though geo-algeba, pp. 73-91. International Journal of Geographical Information Science.

Wagner, D.F. 1997. Cellular automata and geographic information systems, pp. 219-234. Environment and Planning.