The Modelling and Simulation of land cover change are fundamental to the evaluation of successive environmental effects. Remote Sensing and Geographical Information System (GIS) give major procedures which can be valuable in the analysis at the town locale as well as the city levels. The study project the future land use change of Kenyir Basin in Hulu Terengganu. RS data from Thematic Mapper sensor of 2000, 2009 and Operational Land Imager of 2016 were used for the analysis. The study used supervised classification technique for classification, and Cellular Automata Markovian (CA-Markov) Model analysis was used for future projection of 2030. The result classified water body, vegetation and urban area. Modelling analysis reveals a continuous pattern of urban growth in the Kenyir Basin from 5.04 km2, 79.51 km2, 117.03 km2 and 220 km2 in the years 2001, 2009, 2016 and the projected the year 2030 with 0.6934 K-standard value of stimulation. This study gives a chance to characterise and apply better methodologies for environmental management of land use to make improved coordination between urban growths, and conservation of natural environment.
Aburas, M. M., Abdullah, S. H., Ramli, M. F., & Ash’aari, Z. H. (2015). Measuring land cover change in Seremban, Malaysia using NDVI index. Procedia Environmental Sciences, 30, 238-243.
Baysal G. (2013) Urban land use and land cover change analysis and modeling a case study area Malatya, Turkey (Doctoral dissertation).
D Behera, M. U. K. U. N. D. A., Borate, S. N., Panda, S. N., Behera, P. R., & Roy, P. S. (2012). Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model–A geo-information-based approach. Journal of earth system science, 121(4), 1011-1024.
Ghurah, M. H. A., Kamarudin, M. K. A., Wahab, N. A., Juahir, H., Lananan, F., Maulud, K. N. A., & Zin, M. S. M. (2018). Assessment of urban growth and sprawl using GIS and remote sensing techniques in South Ghor region, Al-Karak, Jordan. International Journal of Engineering and Technology (UAE), 7(3.14 Special Issue 14), 5-11.
Gidado, K. A., Khairul, M., Kamarudin, A., Firdaus, N. A., Muhammad, A., Shakir, A., Ibrahim, S. (2018). Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS?: A Review, 7, 159–162.
Hyandye, C., & Martz, L. W. (2017). A Markovian and cellular automata land-use change predictive model of the Usangu Catchment. International journal of remote sensing, 38(1), 64-81.
Islam, M. S., & Ahmed, R. (2011). Land use change prediction in Dhaka city using GIS aided Markov chain modeling. Journal of Life and Earth Science, 6, 81-89.
Kamarudin, M. K. A., Gidado, K. A., Toriman, M. E., Juahir, H., Umar, R., Wahab, N. A., ... & Maulud, K. N. A. (2018). Classification of Land Use/Land Cover Changes Using GIS and Remote Sensing Technique in Lake Kenyir Basin, Terengganu, Malaysia. International Journal of Engineering and Technology (UAE), 7(3.14 Special Issue 14), 12-15.
Kamarudin, M. K. A., Wahab, N. A., Juahir, H., Wan, N. M. F. N., Toriman, M. E., Ata, F. M., ... & Azmee, S. H. (2018). The potential impacts of anthropogenic and climate changes factors on surface water ecosystem deterioration at Kenyir Lake, Malaysia. International Journal of Engineering and Technology (UAE), 7(3.14 Special Issue 14), 67-74.
Katana, S., Munyao, T., & Ucakuwun, E. (2013). Hydrological impacts of land cover changes in upper Athi River Catchment, Kenya. International Journal of Current Research, 5(5), 1187-93.
Khawaldah, H. A. (2016). A Prediction of Future Land Use/Land Cover in Amman Area Using GIS-Based Markov Model and Remote Sensing. Journal of Geographic Information System, 8(03), 412.
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., ... & George, P. (2001). The causes of land-use and land-cover change: moving beyond the myths. Global environmental change, 11(4), 261-269.
López, E., Bocco, G., Mendoza, M., & Duhau, E. (2001). Predicting land-cover and land-use change in the urban fringe: a case in Morelia city, Mexico. Landscape and urban planning, 55(4), 271-285.
Lun, P. I., Gasim, M. B., Toriman, M. E., Rahim, S. A., & Kamaruddin, K. A. (2011). Hydrological Pattern Of Pahang River Basin And Their Relation To Flood Historical Event. e-BANGI, 6(1), 9.
Nouri, J., Gharagozlou, A., Arjmandi, R., Faryadi, S., & Adl, M. (2014). Predicting urban land use changes using a CA–Markov model. Arabian Journal for Science and Engineering, 39(7), 5565-5573.
Pontius, R. G., & Neeti, N. (2010). Uncertainty in the difference between maps of future land change scenarios. Sustainability Science, 5(1), 39.
Set, K., Yaakop, A. Y., Hussin, N. Z. I., & Mohd, B. (2015). Understanding Motivation Factors of Tourism Entrepreneurs in Tasik Kenyir. International Academic Research Journal of Social Science, 1(2), 248-254.
Toriman, M. E., Ata, F. M., Kamarudin, M. K. A., & Idris, M. (2013). Bed-load sediment profile and effect of river bank erosion on river cross-section. American Journal of Environmental Sciences, 9(4), 292-300.
Verburg, P. H., de Nijs, T. C., van Eck, J. R., Visser, H.
In-Text Citation: (Gidado et al., 2019)
To Cite this Article: Gidado, K. A., Kamarudin, M. K. A., Ghurah, M. H. S. A., Wahab, N. A. H. M. S., Garba, F., Hakparn, S., … Potikengrith, T. (2019). Application of Ca-Markov Model for the Analysis of Urban Growth in Kenyir Basin. International Journal of Academic Research in Business and Social Sciences, 9(2), 449–458.
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