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29 January 2024 Spatio-temporal analysis of urban growth pattern and intensity in Mebidangro, North Sumatra from 2000 to 2022
Yusri Khoirurrizqi, Aisyah Azka Nurul Fitriyah, Aning Andita, Warih Handono, Sonia Nada Salsabila
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Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 1297703 (2024) https://doi.org/10.1117/12.3009748
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia
Abstract
The population growth will drive changes in land use due to the increasing need for housing, industry, and public facilities. A common phenomenon in urban and suburban areas is the conversion of land into built-up areas, known as urban growth or urban expansion. Uncontrolled urban growth can lead to various negative impacts on natural resources, economic conditions, communities, and the environment. According to Government Regulation Number 26 of 2007, the Medan- Binjai-Deli Sedang-Karo (Mebidangro) urban area is one of the National Strategic Areas (KSN) from an economic perspective on Sumatra Island. Mebidangro has a rapidly developing metropolitan area, which requires spatial-temporal monitoring of urban growth to support sustainable urban development processes. Remote sensing enables monitoring and analysis of the dynamics of urban growth in a large area to be carried out quickly. This study aims to analyze the dynamics of the intensity and pattern types of urban growth in Mebidangro by utilizing multi-temporal remote sensing data from 2000 to 2022. The analysis is done in two periods, 2000-2011 and 2011-2022, so that comparisons can be made between the two results. Landsat TM, ETM+, and OLI images were used to map built-up areas using object-based classification. Then, the Landscape Expansion Index (LEI) is used to quantify types of urban growth patterns, such as infilling, edge-expansion, and outlying. Based on the analysis, the pattern of urban development showed a dynamic change in proportion over time. Moreover, the high intensity of urban expansion is mostly found in core city, Additionally, from AWMEI and MEI calculation, the urban expansion characteristics in Mebidangro tends to be disperse.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yusri Khoirurrizqi, Aisyah Azka Nurul Fitriyah, Aning Andita, Warih Handono, and Sonia Nada Salsabila "Spatio-temporal analysis of urban growth pattern and intensity in Mebidangro, North Sumatra from 2000 to 2022", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 1297703 (29 January 2024); https://doi.org/10.1117/12.3009748
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KEYWORDS
Image classification
Landsat
Remote sensing
Analytical research
Geographic information systems
Sustainability
Geography
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