The Impact of Population Growth on Open Area in the Coastal Area of Makassar City
DOI:
https://doi.org/10.36777/jag2024.3.2.7Keywords:
Population growth, Open area, Built-up area, Urbanization, Coastal areaAbstract
Makassar City, the capital of South Sulawesi Province, has several advantages over other cities in the region. As an educational centre in eastern Indonesia, it attracts people seeking educational and employment opportunities. Its coastal location also provides various ecosystem services with environmental, economic, and social values, which contribute to the city’s continued urbanisation. The movement of people from rural areas to the city has driven rapid population growth and urban development, resulting in the conversion of open areas into built-up areas. These land-use and land-cover changes are largely driven by human activities to meet growing demands for housing, industry, and infrastructure. Changes in land use can be monitored using satellite imagery. This study uses Landsat data from 1997, 2002, and 2017 to analyse land-use changes, particularly the transformation of open areas into built-up areas. Spatial analysis was employed, using Landsat 5 TM imagery for 1997, Landsat 7 ETM+ imagery for 2002, and Landsat 8 OLI imagery for 2017 as the primary data sources for classifying open and built-up areas. The results indicate that the built-up area increased by 3.23% between 1997 and 2002 and by a further 10.94% between 2002 and 2017. In contrast, open areas decreased by 14.17% between 1997 and 2017. These changes demonstrate the continued expansion of built-up areas and the corresponding reduction in open areas. The findings provide useful information for government authorities and local communities to support future decision-making, particularly in relation to environmental management, land-use planning, and sustainable urban development.
References
Al-Taei, A. I., Alesheikh, A. A., & Darvishi Boloorani, A. (2023). Land use/land cover change analysis using multi-temporal remote sensing data: A case study of Tigris and Euphrates Rivers Basin. Land, 12(5), Article 1101. https://doi.org/10.3390/land12051101
Arifin, T., Nur Amri, S., Rahmania, R., Yulius, Ramdhan, M., Chandra, H., Adrianto, L., Bengen, D. G., Kurniawan, F., & Kurnia, R. (2023). Forecasting land-use changes due to coastal city development on the peri-urban area in Makassar City, Indonesia. Egyptian Journal of Remote Sensing and Space Science, 26(1), 197–206. https://doi.org/10.1016/j.ejrs.2023.02.002
Baig, M. F., Mustafa, M. R. U., Baig, I., Takaijudin, H. B., & Zeshan, M. T. (2022). Assessment of land use land cover changes and future. Water, 14(3), Article 402. https://doi.org/10.3390/w14030402
Bhaskaran, S., Paramananda, S., & Ramnarayan, M. (2010). Per-pixel and object-oriented classification methods for mapping urban features using IKONOS satellite data. Applied Geography, 30(4), 650–665. https://doi.org/10.1016/j.apgeog.2010.01.009
Bongaarts, J. (2009). Human population growth and the demographic transition. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1532), 2985–2990. https://doi.org/10.1098/rstb.2009.0137
Badan Pusat Statistik Kota Makassar. (2017). Kota Makassar dalam angka 2017.
Dehkordi, A. T., Zoej, M. J. V., Ghasemi, H., Ghaderpour, E., & Hassan, Q. K. (2022). A new clustering method to generate training samples for supervised monitoring of long-term water surface dynamics using Landsat data through Google Earth Engine. Sustainability, 14(13), Article 8046. https://doi.org/10.3390/su14138046
Findell, K. L., Berg, A., Gentine, P., Krasting, J. P., Lintner, B. R., Malyshev, S., Santanello, J. A., & Shevliakova, E. (2017). The impact of anthropogenic land use and land cover change on regional climate extremes. Nature Communications, 8(1), Article 14699. https://doi.org/10.1038/s41467-017-01038-w
Hardiansyah, G., Indrianingrum, D. R., Anwari, M. S., Haryono, Z., Diba, F., Ekamawanti, H. A., & Yani, A. (2024). Carbon sequestration in the green open spaces along primary road of Pontianak City, West Kalimantan, Indonesia. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan, 14(1), 190–200. https://doi.org/10.29244/jpsl.14.1.190
Dahanayake, D. D. G. L. H., Hudson, P., & Dahanayake, D. W. (2024). Land use changes of coastal wetlands using remote sensing: A case study of Muthurajawela & Anawilundawa wetlands, Sri Lanka. Journal of Land Use, Mobility and Environment, 1.
Kadhim, A. A., & Abbas, L. Z. (2021). Unplanned urbanization and agricultural land degradation in Baghdad City from 2003 to 2017. Journal of the College of Education for Women, 32(1), 1–17.
Kirezci, E., Young, I. R., Ranasinghe, R., Lincke, D., & Hinkel, J. (2023). Global-scale analysis of socioeconomic impacts of coastal flooding over the 21st century. Frontiers in Marine Science, 9, Article 1024111. https://doi.org/10.3389/fmars.2022.1024111
Li, H., Wang, C., Zhong, C., Zhang, Z., & Liu, Q. (2017). Mapping typical urban LULC from Landsat imagery without training samples or self-defined parameters. Remote Sensing, 9(7), Article 700. https://doi.org/10.3390/rs9070700
Lv, Z., Li, G., Benediktsson, J. A., Zhang, Z., & Yan, J. (2019). Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images. Journal of Applied Remote Sensing, 13(3), Article 036501. https://doi.org/10.1117/1.jrs.13.036501
Markovič, G., Zeleňáková, M., Káposztásová, D., & Hudáková, G. (2014). Rainwater infiltration in the urban areas. WIT Transactions on Ecology and the Environment, 181, 313–320. https://doi.org/10.2495/EID140271
McLean, C. T., Roberts, D. C., & Slotow, R. (2024). The evolution of open space planning within a developing, biodiverse city (Durban, South Africa). Sustainability, 16(7), Article 3073. https://doi.org/10.3390/su16073073
Munji, C. A., Bele, M. Y., Nkwatoh, A. F., Idinoba, M. E., Somorin, O. A., & Sonwa, D. J. (2013). Vulnerability to coastal flooding and response strategies: The case of settlements in Cameroon mangrove forests. Environmental Development, 5(1), 54–72. https://doi.org/10.1016/j.envdev.2012.10.002
Neves, J. L., Sellick, T. K., Hasan, A., & Pilesjö, P. (2023). Flood risk assessment under population growth and urban land use change in Matola, Mozambique. African Geographical Review, 42(5), 539–559. https://doi.org/10.1080/19376812.2022.2076133
Nganro, S., Trisutomo, S., Barkey, R. A., & Ali, M. (2019). Analisis koefisien limpasan permukaan Kota Makassar dengan metode Cook. Tataloka, 21(2), 285–292. https://doi.org/10.14710/tataloka.21.2.285-292
Parent, O., Oh, S., Ervin, P., vom Hove, R., Khalid, M. A., & Y. (2023). Estimating the socioeconomic impacts of flooding on regional economies with a computable general equilibrium (CGE) model. Water Resources Research. 59(9), e2022WR033474. https://doi.org/10.1029/2022WR033474
Pan, F., Sun, Y., Jiang, N., Jian, Z., Mei, Y., & Liu, Q. (2023). Analysis of the coordination of built-up area expansion and population growth in the Shandong Peninsula urban agglomeration. Sustainability, 15(10), Article 7763. https://doi.org/10.3390/su15107763
Phinzi, K., Ngetar, N. S., Pham, Q. B., Chakilu, G. G., & Szabó, S. (2023). Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. Earth Science Informatics, 16(4), 3667–3677. https://doi.org/10.1007/s12145-023-01117-1
Ramadan, G. F., & Hidayati, I. N. (2022). Prediction and simulation of land use and land cover changes using open source QGIS: A case study of Purwokerto, Central Java, Indonesia. Indonesian Journal of Geography, 54(3), 344–351. https://doi.org/10.22146/IJG.68702
Ramankutty, N., & Foley, J. A. (1999). Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles, 13(4), 997–1027. https://doi.org/10.1029/1999GB900046
Richards, J. A., & Jia, X. (2006). Remote sensing digital image analysis: An introduction. Springer. https://doi.org/10.1007/3-540-29711-1
Sudirman, S., Trisutomo, S., Barkey, R., Ali, M., Imura, H., Onishi, A., & Tsai, Y. (2019). System of urban flood control: A comparative study between Kanagawa Prefecture and Makassar City. IOP Conference Series: Earth and Environmental Science, 235(1), Article 012088. https://doi.org/10.1088/1755-1315/235/1/012088
Sudirman, N., Trisutomo, S., Barkey, R., & Ali, M. (2022). Spatial dynamics of the Makassar City land use based on remote sensing imagery and geographic information system (GIS). In Proceedings of the 13th International Academic Consortium for Sustainable Cities (IACSC) (p. 131).
Suryanto, S., Trinugroho, I., Susilowati, F., Aboyitungiye, J. B., & Hapsari, Y. (2023). The impact of climate change, economic growth, and population growth on food security in Central Java, Indonesia. Nature Environment and Pollution Technology, 22(2), 1017–1022. https://doi.org/10.46488/NEPT.2023.v22i02.048
Taha, A. I., & Motlak, J. B. (2023). Population growth scenarios and population expectations for the expansion of urban cities in Najaf Governorate. IOP Conference Series: Earth and Environmental Science, 1129(1), Article 012006. https://doi.org/10.1088/1755-1315/1129/1/012006
Tran, D. X., Pla, F., Latorre-Carmona, P., Myint, S. W., Caetano, M., & Kieu, H. V. (2017). Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing, 124, 119–132. https://doi.org/10.1016/j.isprsjprs.2017.01.001
Ulloa-Espíndola, R., Cuyo-Cuyo, J., & Lalama-Noboa, E. (2023). Towards rural resilience: Assessing future spatial urban expansion and population growth in Quito as a measure of resilience. Land, 12(2), Article 335. https://doi.org/10.3390/land12020335
Wang, X., Chen, B., & Dong, Q. (2023). The limit of urban land expansion based on population growth and economic development: A case study of Shandong Province in China. Sustainability, 15(1), Article 73. https://doi.org/10.3390/su15010073
Yang, C., Li, Q., Wu, G., & Chen, J. (2018). A highly efficient method for training sample selection in remote sensing classification. In 2018 26th International Conference on Geoinformatics (pp. 1–5). IEEE. https://doi.org/10.1109/GEOINFORMATICS.2018.8557085
Zang, Y., Zhu, J., Han, X., & Lv, L. (2023). Dynamics between population growth and construction land expansion: Evidence from the Yangtze River Economic Belt of China. Land, 12(7), Article 1288. https://doi.org/10.3390/land12071288
Zhang, H., He, J., Chen, S., Zhan, Y., Bai, Y., & Qin, Y. (2023). Comparing three methods of selecting training samples in supervised classification of multispectral remote sensing images. Sensors, 23(20), Article 8530. https://doi.org/10.3390/s23208530
Zhang, J., Li, P., & Wang, J. (2014). Urban built-up area extraction from Landsat TM/ETM+ images using spectral information and multivariate texture. Remote Sensing, 6(8), 7339–7359. https://doi.org/10.3390/rs6087339
Zhu, Y., & Ling, G. H. T. (2024). Spatio-temporal changes and driving forces analysis of urban open spaces in Shanghai between 1980 and 2020: An integrated geospatial approach. Remote Sensing, 16(7), Article 1184. https://doi.org/10.3390/rs16071184
Zope, P. E., Eldho, T. I., & Jothiprakash, V. (2016). Impacts of land use-land cover change and urbanization on flooding: A case study of Oshiwara River Basin in Mumbai, India. Catena, 145, 142–154. https://doi.org/10.1016/j.catena.2016.06.009
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Journal of Asian Geography
This work is licensed under a Creative Commons Attribution 4.0 International License.
