INTEGRATED SATELLITE IMAGERY AND GEOPHYSICAL METHODS IDENTIFY LANDSLIDE SUSCEPTIBILITY ZONATION IN TABBINJAI VILLAGE, SOUTH SULAWESI
DOI:
10.29303/ipr.v9i2.632Downloads
Abstract
Tabbinjai Village is susceptible to landslides due to high rainfall, steep topography, and human activities. This study aims to determine the zone of landslide vulnerability using geophysical data and satellite imagery to generate a level of landslide vulnerability map in Tabbinjai Village. The AHP (Analytical Hierarchy Process) method is used to determine the weight composition of satellite imagery data, and Seismic vulnerability and slip plane identification are geophysical methods that include the HVSR (horizontal-to-vertical spectral ratio) method and the Wenner-Schlumberger configuration, respectively. Based on the AHP method, landslide susceptibility is classified into low (60.67%), moderate (37.89%), and high (1.44%) susceptibility zones. These spatial findings are supported by the in situ seismic vulnerability index (Kg) and geoelectrical resistivity profiles, confirming the strong likelihood of slope failure in critical areas. Therefore, integrated satellite imagery and geophysical data provide a reliable reference for regional spatial planning and disaster mitigation strategies.
Keywords:
AHP Integrated Geophysical Method Lanslide Suceptibility Satellite Imaginary Tabbinjai VillageReferences
[1] S. Z. S. Wahab and H. Latif, “Akses Jalan Desa Tabbinjai Gowa Sulsel Tak Bisa Dilalui Imbas Longsor,” Tribun-timur.com. Accessed: Dec. 30, 2025. [Online]. Available: https://makassar.tribunnews.com/2024/07/03/akses-jalan-desa-tabbinjai-gowa-sulsel-tak-bisa-dilalui-imbas-longsor
[2] A. A. F. N. Irfan, “2 Rumah di Gowa Rusak Diterjang Longsor Imbas Hujan Lebat Sepekan,” Detiksulsel. Accessed: Dec. 30, 2025. [Online]. Available: https://www.detik.com/sulsel/berita/d-7421503/2-rumah-di-gowa-rusak-diterjang-longsor-imbas-hujan-lebat-sepekan
[3] Kementerian Kesehatan Republik Indonesia, “Tanah Longsor di GOWA, Sulawesi Selatan, 25-04-2020.” Accessed: Dec. 30, 2025. [Online]. Available: https://pusatkrisis.kemkes.go.id/Tanah-Longsor-di-GOWA-SULAWESI-SELATAN-25-04-2020-14
[4] Y. Jia, S. Luan, M. Saleh Asheghabadi, D. Xing, H. Yuan, and J. Liu, “Slope stability analysis of coastal geotechnical structures under combined effects of earthquake and rainfall,” Frontiers in Earth Science, vol. 11, Jan. 2024.
[5] Z.-H. Qian, J.-F. Zou, and Q.-J. Pan, “3D Discretized Rotational Failure Mechanism for Slope Stability Analysis,” Nov. 2021, Accessed: Dec. 30, 2025. [Online]. Available: https://ascelibrary.org/doi/10.1061/%28ASCE%29GM.1943-5622.0002163
[6] C. Dai, W. Li, H. Lu, and S. Zhang, “Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China,” Remote Sensing, vol. 15, p. 596, Jan. 2023.
[7] X. Chen et al., “Conv-trans dual network for landslide detection of multi-channel optical remote sensing images,” Frontiers in Earth Science, vol. 11, p. 1182145, May 2023.
[8] J. Li et al., “Assessing the soil moisture effects of planted vegetation on slope stability in shallow landslide-prone areas,” Journal of Soils and Sediments, vol. 21, no. 7, pp. 2551–2565, Apr. 2021.
[9] Y. W. Rabby, Y. Li, J. Abedin, and S. Sabrina, “Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh,” ISPRS International Journal of Geo-Information, vol. 11, no. 2, p. 89, Jan. 2022.
[10] S. Pradhan, D. Toll, N. Rosser, and M. Brain, “An investigation of the combined effect of rainfall and road cut on landsliding,” Engineering Geology, vol. 307, p. 106787, July 2022.
[11] A. Pyakurel, D. K. C., and B. K. Dahal, “Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning,” Scientific Reports, vol. 14, no. 1, p. 5902, Mar. 2024.
[12] W.-N. Tsai et al., “Electrical Resistivity Tomography (ERT) Monitoring for Landslides: Case Study in the Lantai Area, Yilan Taiping Mountain, Northeast Taiwan,” Front. Earth Sci., vol. 9, pp. 1–19, Oct. 2021.
[13] M. Oleng, Z. Ozdemir, and K. Pilakoutas, “Co-seismic and rainfall-triggered landslide hazard susceptibility assessment for Uganda derived using fuzzy logic and geospatial modelling techniques,” Natural Hazards, vol. 120, no. 15, pp. 14049–14082, July 2024.
[14] Z. Xu, A. Che, and H. Zhou, “Seismic landslide susceptibility assessment using principal component analysis and support vector machine,” Scientific Reports, vol. 14, no. 1, p. 3734, Feb. 2024.
[15] H. Shu, Z. Guo, S. Qi, D. Song, H. R. Pourghasemi, and J. Ma, “Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China,” Remote Sensing, vol. 13, no. 18, p. 3623, Sept. 2021.
[16] H. Albanwan, R. Qin, and J.-K. Liu, “Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications,” Remote Sensing, vol. 16, no. 3, p. 455, Jan. 2024.
[17] N. Zhou, J. Hong, W. Cui, S. Wu, and Z. Zhang, “A Multiscale Attention Segment Network-Based Semantic Segmentation Model for Landslide Remote Sensing Images,” Remote Sensing, vol. 16, no. 10, p. 1712, May 2024.
[18] I. H. Y. Kwong, F. K. K. Wong, and T. Fung, “Automatic Mapping and Monitoring of Marine Water Quality Parameters in Hong Kong Using Sentinel-2 Image Time-Series and Google Earth Engine Cloud Computing,” Front. Mar. Sci., vol. 9, pp. 1–18, May 2022.
[19] BSN, SNI 1726:2019: Tata Cara Perencanaan Ketahanan Gempa untuk Struktur Bangunan Gedung dan Nongedung. Badan Standar Nasional, 2019.
[20] F. Hanifudin, A. L. Nugraha, and H. S. Firdaus, “Analisis Pengaruh Perubahan Tutupan Lahan Terhadap Ancaman Bencana Longsor Dengan Menggunakan Sistem Informasi Geografis (Studi Kasus: Kabupaten Kebumen),” Jurnal Geosains dan Teknologi, vol. 7, no. 1, pp. 36–46, Oct. 2024.
[21] H. Setiawan and A. Wibowo, “Analysis Of Landslide Susceptibility In The Cugenang New Fault Area In The North Of Cianjur Regency,” Jurnal Geografi Edukasi dan Lingkungan (JGEL), vol. 7, pp. 94–108, July 2023.
[22] B. Zhang, W. Pedrycz, A. R. Fayek, and Y. Dong, “A Differential Evolution-Based Consistency Improvement Method in AHP With an Optimal Allocation of Information Granularity,” IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 6733–6744, July 2022.
[23] E. D. Ebong, A. Agwul, E. Bekongshelhe, and L. Ebong, “Geoelectrical Resistivity and Geological Characterization of Hydrostructures for Groundwater Resource Appraisal in the Obudu Plateau, Southeastern Nigeria,” Natural Resources Research, vol. 30, Feb. 2021.
[24] A. I. Hadi et al., “Zonation of Seismic Vulnerability Levels in South Bengkulu Regency, Indonesia for Disaster-Based Regional Planning,” Rudarsko-geološko-naftni zbornik, vol. 39, no. 2, pp. 133–148, Apr. 2024.
[25] X. Shi, J. Wang, M. Jiang, S. Zhang, Y. Wu, and Y. Zhong, “Extreme rainfall-related accelerations in landslides in Danba County, Sichuan Province, as detected by InSAR,” International Journal of Applied Earth Observation and Geoinformation, vol. 115, p. 103109, Dec. 2022.
[26] D.-J. Jwo, W.-Y. Chang, and I.-H. Wu, “Windowing Techniques, the Welch Method for Improvement of Power Spectrum Estimation,” Computers, Materials & Continua, vol. 67, pp. 3983–4003, Jan. 2021.
[27] G. Zhou and H. Yao, “Shallow Structure and Seismic Amplification Effects in the Weifang Segment of the Tanlu Fault Zone Based on the Spectral Ratio Method,” Seismological Research Letters, vol. 96, Aug. 2024.
[28] M. I. Khan and S. Wang, “Slope Stability Analysis to Correlate Shear Strength with Slope Angle and Shear Stress by Considering Saturated and Unsaturated Seismic Conditions,” Applied Sciences, vol. 11, no. 10, p. 4568, May 2021.
[29] H. He, X. Dong, S. Du, H. Guo, Y. Yan, and G. Chen, “Study on the Stability of Cut Slopes Caused by Rural Housing Construction in Red Bed Areas: A Case Study of Wanyuan City, China,” Sustainability, vol. 16, no. 3, p. 1344, Feb. 2024.
[30] A. Solgi, E. Zenner, R. Naghdi, M. Ali, R. Shoja, and F. Behjou, “Evaluating the Effectiveness of Mulching for Reducing Soil Erosion in Skid Trail Switchbacks,” Croatian journal of Forest Engineering, vol. 43, June 2022.
[31] S. Molnar et al., “A review of the microtremor horizontal-to-vertical spectral ratio (MHVSR) method,” Journal of Seismology, vol. 26, no. 4, pp. 653–685, Mar. 2022.
[32] C. P. Ramos, N. A. Abrahamson, and R. Kayen, “Estimation of site terms in ground-motion models for California using horizontal-to-vertical spectral ratios from microtremor”, Accessed: Dec. 30, 2025. [Online]. Available: https://pubs.usgs.gov/publication/70237838
[33] D. Setiawan, N. Haerudin, B. Sapto, M. Sarkowi, and S. Erfani, “Identification of Landslide-Prone Areas Using the Horizontal to Vertical Spectral Ratio (HVSR) Method and the GIS Approach in Semakai District, Tanggamus Regency, Lampung Province,” Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat, vol. 20, p. 154, July 2023.
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