Mapping of landslide vulnerability in the build area based on Remote Sensing and GIS in Ambon City, Indonesia
Abstract
Landslides are natural hazards characterized by rock mass, debris, or soil movement on slopes under gravity. This study employed qualitative and quantitative methods with a spatial approach to analyze primary and secondary data obtained from satellite imagery, observations, and relevant institutions. Data were processed using Global Mapper 20, ArcGIS 10.8.1, and ER Mapper 8.1 software. The results obtained from this study revealed that the majority of the Ambon City area (approximately 51.63 %) was classified as having high landslide vulnerability. Meanwhile, only approximately 16.26% of the total area had very low or low landslide vulnerability. The same pattern is observed in built-up areas, where most landslide vulnerability falls under the high category (Z-4), at approximately 39.01%. In contrast, very low landslide vulnerability (Z-1) accounted for approximately 35.09%, and low vulnerability (Z-2) accounted for approximately 11.89%. The level of landslide vulnerability in the built-up areas also highlights that most of the Ambon City area, with mountainous terrain accounting for approximately 89% of the total area, experienced relatively high occurrences. In response, the government and relevant authorities must undertake careful spatial planning, direct development towards safer places, and implement policies that support sustainable development.
References
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He, S., Wang, J., & Liu, S. (2020). Rainfall event-duration thresholds for landslide occurrences in China. Water (Switzerland), 12(2). https://doi.org/10.3390/w12020494
Heradian, E. A., & Arman, Y. (2015). Pendugaan Bidang Gelincir di Desa Aruk Kecamatan Sajingan Besar Kabupaten Sambas dengan Menggunakan Metode Tahanan Jenis. Prisma Fisika, III(2), 56–61. https://doi.org/ttp://dx.doi.org/10.26418/pf.v3i2.11878
Hidayat, R., & Zahro, A. A. (2018). Identifikasi Curah Hujan Pemicu Longsor di Daerah Aliran Sungai (DAS) Serayu Hulu-Banjarnegara. http://hdl.handle.net/11617/10336
Hutapea, S. (2020). Biophysical Characteristics of Deli River Watershed to Know Potential Flooding in Medan City, Indonesia. Journal of Rangeland Science, 10(3), 316–327. https://journals.iau.ir/article_672809_3011c0a146017c54e0985dcbe2141186.pdf
Juang, C. S., Stanley, T. A., & Kirschbaum, D. B. (2019). Using citizen science to expand the global map of landslides: Introducing the cooperative open online landslide repository (COOLR). PLoS ONE, 14(7), 1–28. https://doi.org/10.1371/journal.pone.0218657
Lasaiba, M. A. (2012). Perubahan penggunaan lahan di kota Ambon tahun 2002-2009. Disertasi. http://etd.repository.ugm.ac.id/penelitian/detail/54572
Lavan Kumar, Sushanth, Manikanta, M. Z. R. (2021). IRJET- Application of GIS in Investigating the Influence of Rainfall-Runoff on Landslides. Irjet, 8(6), 3646–3653.
Lombardo, L., Opitz, T., & Huser, R. (2019). Numerical Recipes for Landslide Spatial Prediction Using R-INLA. In Spatial Modeling in GIS and R for Earth and Environmental Sciences. Elsevier Inc. https://doi.org/10.1016/b978-0-12-815226-3.00003-x
Martensson, U. (2011). Introduction to Remote Sensing and Geographical Information Systems. Department of Physical Geography and Ecosystems Sciences, 55.
Naryanto, H. S., Soewandita, H., Ganesha, D., Prawiradisastra, F., & Kristijono, A. (2019). Analisis Penyebab Kejadian dan Evaluasi Bencana Tanah Longsor di Desa Banaran, Kecamatan Pulung, Kabupaten Ponorogo, Provinsi Jawa Timur Tanggal 1 April 2017. Jurnal Ilmu Lingkungan, 17(2), 272. https://doi.org/10.14710/jil.17.2.272-282
Nefeslioglu, H. A., Gokceoglu, C., & Sonmez, H. (2008). An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Engineering Geology, 97(3–4), 171–191. https://doi.org/https://doi.org/10.1016/j.enggeo.2008.01.004
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Nugroho, A. S., Aji, A., & Indrayati, A. (2017). Perubahan Penggunaan Lahan Sawah Menjadi Non Sawah dan Pengaruhnya terhadap Keberlanjutan Sawah Lestari di Kabupaten Klaten. Geo-Image, 6(2), 139–146. https://doi.org/https://doi.org/10.29244/jpsl.8.2.258-263
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Putra, R., Edial, H., & Prarikeslan, W. (2019). Studi Karakteristik Lahan Terhadap Longsor Di Kelurahan Balai Gadang Kecamatan Koto Tangah Kota Padang. Buana, 3(2), 29–34. https://doi.org/https://doi.org/10.24036/student.v3i2.417
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Authors
LasaibaM. A., Gland TeteleptaE. and Salomo LeuwolF. (2023) “Mapping of landslide vulnerability in the build area based on Remote Sensing and GIS in Ambon City, Indonesia”, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). Bogor, ID, 13(4). Available at: https://jurnal.ipb.ac.id/index.php/jpsl/article/view/43722 (Accessed: 9May2024).
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