Abstract
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.
Highlights
The land use and land cover change has been fast-tracking because of Socio-Economic drivers (Behera et al, 2012) and are firmly connected with sustainable development since they influence fundamental parts of the economic growth, for example, vegetation, and water resources (Islam & Ahmed, 2011) and human life (Wahab et al, 2016; Verburg et al, 2004)
Modelling of land use land cover change play an essential role in understanding the concepts of land use changes
The results further demonstrate that the Remote Sensing and Geographical Information System (GIS) innovation is a compelling methodology in the analysis of land use change modelling using the CA- Markov
Summary
The land use and land cover change has been fast-tracking because of Socio-Economic drivers (Behera et al, 2012) and are firmly connected with sustainable development since they influence fundamental parts of the economic growth, for example, vegetation, and water resources (Islam & Ahmed, 2011) and human life (Wahab et al, 2016; Verburg et al, 2004). Models of land use change are characterised as apparatuses to help the investigation of the causes and results of land use change (Behera et al, 2012; Lopez et al, 2001) battle that solid land use land cover change Modelis required on the off chance that one has to know the future state and the spatial distribution of the land use land cover at Kenyir Lake Basin by employing the information from the earlier years that are historical land use change. The CA-Markov Model is suitable for land use land cover simulations (Baysal, 2013; Hyandye & Martz, 2017) This is because they consider spatiotemporal dynamics of land use land cover changes (Ghurah et al, 2018; Toriman et al, 2013)
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