Cellular Automata: A Spatial Modeling Method to Identified Land Use Change For the Future Impact of Highway (Case Study: Semarang Highway, Semarang, Indonesia)

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Abstract Summary
Development of higway (Toll Roads) is a generator in the development of the Semarang City. This is indicated by population growth, built-up land, and urban economic (GDP). In spatial this can be predicted by remote sensing techniques using land use data extracted from multitemporal Landsat imagery. This study uses Markov-Cellular Automata methods to make a landuse change modeling towards a sustainable development, by 1) Extracted multitemporal landsat imagery into serial data landuse; (2) Identifying the impact of changes in land use from opening toll road access in Semarang City; (3) Validate and simulate the growth model of the land built in Semarang City in 2023 and 2028, and (4) Monitoring Semarang Spatial Planning uses this model in 2023 and 2028. This study uses remote sensing data, 1) Landsat 5 TM imagery in 1998, 2) Landsat 7 ETM + 2003 images, 2013, and 3) Landsat 8 OLI imagery in 2018. Extracting landsat imagery to serial data land uses Supervised Classification Methods. The results are used to analyze the pattern of urban development and the impact of the Development of Semarang City due to the opening of the Semarang City Highway. Then the simulation of land use change modeling in 2023 and 2028 used the Markov-Cellular Automata methods. The results of the modeling are used as a basis for monitoring the Semarang City's Spatial Planning. The results of extracting multitemporal landsat imagery into serial data land use show that the development of Semarang City leads to the east and south. These results are shown in a 2-dimensional perspective map (X axis and Y axis) without regard to growth to the Z axis. As a result, five Sub-districts were affected by the existence of Semarang Highway. There are: Tembalang, Banyumanik, Ngaliyan, Genuk , and Pedurungan. As the result, the spatial model shows land built in cells changed in 2023 were 85,000 cells / 8,200 Ha and in 2028 100,000 cells / 9,500 Ha. This model validity rate is 83% which is very good. In the end, Monitoring assesment uses Semarang City's Spatial Planning in 2023 and 2028 and shown the direction of city's development into protected areas.
Abstract ID :
ISO626
Submission Type
Lecture Assistant
,
Institut Teknologi Bandung

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