Open Access
| Issue |
EPJ Web Conf.
Volume 343, 2025
1st International Conference on Advances and Innovations in Mechanical, Aerospace, and Civil Engineering (AIMACE-2025)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 13 | |
| Section | Civil Engineering & Infrastructure Development | |
| DOI | https://doi.org/10.1051/epjconf/202534303007 | |
| Published online | 19 December 2025 | |
- Schuster RL, Fleming RW. Economic losses and fatalities due to landslides. Bulletin of the Association of Engineering Geologists (1986) 23(1):11–28. https://doi.org/10.2113/gseegeosci.xxiii.1.11 [Google Scholar]
- Turner AK. Social and environmental impacts of landslides. Innov. Infrastruct. Solut. 3, 70 (2018). https://doi.org/10.1007/s41062-018-0175-y [Google Scholar]
- Fathani, T. F., Karnawati, D., and Wilopo, W. (2016) An integrated methodology to develop a standard for landslide early warning systems, Nat. Hazards Earth Syst. Sci., 16, 2123–2135, https://doi.org/10.5194/nhess-16-2123-2016 [Google Scholar]
- Kainthola A, Sharma V, Pandey VHR, Jayal T, Singh M, Srivastav A, Singh PK, Champati Ray PK, Singh TN. Hill slope stability examination along Lower Tons valley, Garhwal Himalayas, India. Geomatics, Natural Hazards and Risk. 2021 Jan 1;12(1):900–21. https://doi.org/10.1080/19475705.2021.1906758 [Google Scholar]
- Pandey VHR, Kainthola A, Sharma V, Srivastav A, Jayal T, Singh TN. Deep learning models for large-scale slope instability examination in Western Uttarakhand, India. Environmental Earth Sciences. 2022 Oct;81(20):1–8. https://doi.org/10.1007/s12665-022-10590-8 [Google Scholar]
- Hadmoko DS, Lavigne F, Sartohadi J, Hadi P. Landslide hazard and risk assessment and their application in risk management and landuse planning in eastern flank of Menoreh Mountains, Yogyakarta Province, Indonesia. Natural Hazards. 2010 Sep;54(3):623–42. https://doi.org/10.1007/s11069-009-9490-0 [Google Scholar]
- Karnawati D, Fathani TF, Ignatius S, Andayani B, Legono D, Burton PW. Landslide hazard and community-based risk reduction effort in Karanganyar and the surrounding area, central Java, Indonesia. Journal of Mountain Science. 2011Apr;8(2):149–53. https://doi.org/10.1007/s11629-011-2107-6 [Google Scholar]
- Ahmed A, Brahmantyo B, Ugai K. On the Tasikmalaya earthquake induced landslide in Indonesia: field investigation. InEarthquake-induced landslides 2013 (pp. 253–260). Springer, Berlin, Heidelberg. https://doi.org/10.1186/s40677-016-0041-1 [Google Scholar]
- Umar Z, Pradhan B, Ahmad A, Jebur MN, Tehrany MS. Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. Catena. 2014 Jul 1;118:124–35. https://doi.org/10.1016/j.catena.2014.02.005 [Google Scholar]
- Faris F, Fawu W. Investigation of the initiation mechanism of an earthquake-induced landslide during rainfall: a case study of the Tandikat landslide, West Sumatra, Indonesia. Geoenvironmental Disasters. 2014 Dec;1(1):1–8. https://doi.org/10.1186/s40677-014-0004-3 [Google Scholar]
- Piciullo L, Calvello M, Cepeda JM (2018) Territorial Early Warning System for Rainfall- induced landslides. Earth-Science Reviews, 179:228–247. https://doi.org/10.1016/j.earscirev.2018.02.013 [Google Scholar]
- Floris M, Bozzano F (2008) Evaluation of landslide reactivation: A modified rainfall threshold model based on historical records of rainfall and landslides. Geomorphology 94(1-2):40–57. https://doi.org/10.1016/j.geomorph.2007.04.009 [Google Scholar]
- Rossi M, Kirschbaum D, Valigi D, Mondini AC, Guzzetti F. Comparison of satellite rainfall estimates and rain gauge measurements in Italy, and impact on landslide modeling. Climate. 2017 Dec 3;5(4):90. https://doi.org/10.3390/cli5040090 [Google Scholar]
- Srivastava, P., Lim, H. S., & Wasson, R. (2021). Why are the builders and operators of dams and hydels in the Hindu Kush-Karakoram-Himalaya so poorly prepared for hydroclimatic hazards?. Current Science, 121(12), 1549–1552. [Google Scholar]
- Martha TR, Reddy PS, Bhatt CM, Raj KBG, Nalini J, Padmanabha EA, Dadhwal VK (2017). Debris volume estimation and monitoring of Phuktal river landslide-dammed lake in the Zanskar Himalayas, India using Cartosat-2 images. Landslides, 14(1), 373–383. [Google Scholar]
- Cheng G, Guo L, Zhao T, Han J, Li H, Fang J (2013) Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA. International Journal of Remote Sensing, 34(1):45–59. [Google Scholar]
- Confuorto, P., Di Martire, D., Centolanza, G., Iglesias, R., Mallorqui, J. J., Novellino, A., & Calcaterra, D. (2017). Post-failure evolution analysis of a rainfall-triggered landslide by multitemporal interferometry SAR approaches integrated with geotechnical analysis. Remote sensing of environment, 188, 51–72. [Google Scholar]
- Strozzi T, Klimes J, Frey H, Caduff R, Huggel C, Wegmüller U, Rapre AC (2018) Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru. Remote sensing of environment, 217, 111–125. [Google Scholar]
- Thapa, P.S., Adhikari, B.R. Development of community-based landslide early warning system in the earthquake-affected areas of Nepal Himalaya. J. Mt. Sci. 16, 2701–2713 (2019). https://doi.org/10.1007/s11629-019-5586-5 [Google Scholar]
- Kong, V. W. W., Kwan, J. S. H., & Pun, W. K. (2020). Hong Kong's landslip warning system— 40 years of progress. Landslides, 17(6), 1453–1463. [Google Scholar]
- Atzeni, C., Barla, M., Pieraccini, M., & Antolini, F. (2015). Early warning monitoring of natural and engineered slopes with ground-based synthetic-aperture radar. Rock Mechanics and Rock Engineering, 48(1), 235–246. [Google Scholar]
- Intrieri, E., Carlà, T., Farina, P., Bardi, F., Ketizmen, H., & Casagli, N. (2019). Satellite interferometry as a tool for early warning and aiding decision making in an open-pit mine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12), 5248–5258. [Google Scholar]
- Huang, H., Ni, J., Zhang, Y., Qian, T., Shen, D., & Wang, J. (2016). Web3DGIS-based system for reservoir landslide monitoring and early warning. Applied Sciences, 6 (2), 44. [Google Scholar]
- Ozturk, U., Tarakegn, Y. A., Longoni, L., Brambilla, D., Papini, M., & Jensen, J. (2016). A simplified early-warning system for imminent landslide prediction based on failure index fragility curves developed through numerical analysis. Geomatics, Natural Hazards and Risk, 7(4), 1406–1425. [Google Scholar]
- Roy, P., Martha, T. R., Khanna, K., Jain, N., & Kumar, K. V. (2022). Time and path prediction of landslides using InSAR and flow model. Remote Sensing of Environment, 271, 112899. [Google Scholar]
- Hermle, D., Keuschnig, M., Hartmeyer, I., Delleske, R., & Krautblatter, M. (2021). Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria. Natural Hazards and Earth System Sciences, 21 (9), 2753–2772. [Google Scholar]
- Chikalamo EE, Mavrouli O.C., Ettema J, van Westen CJ, Muntohar AS, Mustofa A. Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia. International Journal of Applied Earth Observation and Geoinformation. 2020 Jul 1; 89:102093. https://doi.org/10.10167i.iag.2020.102093 [Google Scholar]
- Fatimah P, Irawan B, Setianingsih C. Design of Landslide Early Warning System Using Fuzzy Method Based on Android. In2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) 2020 Oct 6 (pp. 350–355). IEEE. [Google Scholar]
- Hidayat R, Sutanto SJ, Hidayah A, Ridwan B, Mulyana A (2019) Development of a Landslide Early Warning System in Indonesia. Geosciences, 9(10):451. https://doi.org/10.3390/geosciences9100451 [Google Scholar]
- Liao, Z., Hong, Y., Wang, J. et al. Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets. Landslides 7, 317–324 (2010). https://doi.org/10.1007/s10346-010-0219-7 [Google Scholar]
- Apip, Takara, K., Yamashiki, Y. et al. A distributed hydrological-geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale. Landslides 7, 237–258 (2010). https://doi.org/10.1007/s10346-010-0214-z [Google Scholar]
- Saaty TL (1980) The Analytical Hierarchy process. McGrawHill. New York [Google Scholar]
- Fredlund DG, Xing A, Fredlund MD, Barbour SL (1996) The relationship of the unsaturated soil shear strength to the soil-water characteristic curve. Can Geotech J 33(3):440–148. https://doi.org/10.1139/t96-065 [Google Scholar]
- Montrasio L, Valentino R (2008) A model for triggering mechanisms of shallow landslides. Nat Hazards Earth Syst Sci 8:1149–1159. https://doi.org/10.5194/nhess-8-1149-2008 [Google Scholar]
- Issues Brief: An Outlook on Landslides in Indonesia. Miyamoto International. 2018. Available at: https://miyamotointernational.com/issues-brief-an-outlook-on-landslides-in-indonesia/. [Google Scholar]
- Lavigne, F, Wassmer, P., Gomez, C. et al. (2014) The 21 February 2005, catastrophic waste avalanche at Leuwigajah dumpsite, Bandung, Indonesia. GEOENVIRON DISASTERS 1, 10. https://doi.org/10.1186/s40677-014-0010-5 [Google Scholar]
- S. Wibowo, A. S. Hadi, A. S. H. Nandaka, et al. Modelling of Population Exposure to Landslide Risk in Sukabumi, Indonesia Using GIS. ISPRS Archives. 2019; XLII-3/W8:461–466. https://doi.org/10.5194/isprs-archives-XLII-3-W8-461-2019 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

