3D Modeling Using Unmanned Aerial Vehicles (UAV) in Landslide Risk Assessment and Mitigation Based on Indigenous Knowledge (Case Study: Tawangmangu Sub-district, Karanganyar Regency, Indonesia)

Arlina Bunga  Saputri; Beny  Harjadi; Agus  Wuryanta; Sapto  Nugroho; Edy  Junaidi; Sigit Andy  Cahyono; Tugas Tri  Wahyono; Firda Maftukhakh Hilmya  Nada; Dian  Pratiwi

doi:10.6180/jase.202511_28(11).0002

3D Modeling Using Unmanned Aerial Vehicles (UAV) in Landslide Risk Assessment and Mitigation Based on Indigenous Knowledge (Case Study: Tawangmangu Sub-district, Karanganyar Regency, Indonesia)

Arlina Bunga Saputri¹This email address is being protected from spambots. You need JavaScript enabled to view it., Beny Harjadi², Agus Wuryanta³, Sapto Nugroho⁴, Edy Junaidi³, Sigit Andy Cahyono⁵, Bambang Tejo Premono⁵, Tugas Tri Wahyono⁶, Firda Maftukhakh Hilmya Nada⁵, and Dian Pratiwi⁵

¹Disaster Research Center, Sebelas Maret University, Surakarta, Indonesia

²Research Center for Geological Disaster, National Research and Innovation Agency (NRIA), Indonesia

³Research Center for Limnology and Water Resources, National Research and Innovation Agency (NRIA), Indonesia

⁴Research Center for Hydrodinamics Technology, National Research and Innovation Agency (NRIA), Indonesia

⁵Research Center for Ecology and Ethnobiology, National Research and Innovation Agency (NRIA), Indonesia

⁶Research Center for Literary Manuscript and Oral Traditions, National Research and Innovation Agency (NRIA), Indonesia

Received: October 8, 2024
Accepted: December 21, 2024
Publication Date: February 28, 2025

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202511_28(11).0002

The advancement of Geographic Information System (GIS) technology through 3D modeling has significantly improved disaster risk analysis, particularly for landslides. This study utilized Unmanned Aerial Vehicles (UAVs) and Agisoft Metashape software to produce accurate 3D models, which were used to identify the location, volume, displacement, and distribution of landslide impacts in Tawangmangu Sub-district, Karanganyar Regency. This area is characterized by hilly topography with slopes > 45% and frequent land-use changes that exacerbate landslide risks. The 3D modeling process involved several key steps: aerial image acquisition using UAVs at an altitude of 126 meters, photo processing with Agisoft Metashape to generate orthomosaic maps, Digital Elevation Models (DEM), and geospatial analysis. Camera calibration was performed to enhance accuracy, while risk analyze using overlay and scoring methods were applied to hazard, vulnerability, and community capacity parameters in accordance with National Disaster Management Agency (BNPB) Regulation No. 02 of 2012. The results revealed that most of Tawangmangu Sub-district falls into the medium-risk category for landslides, covering an area of 4023.45 hectares, with the highest risk levels identified in Sepanjang and Tawangmangu villages. The 3D models indicated translational landslides, with soil displacement volumes ranging from −5409.3 m³ to −991,808 m³, causing infrastructure damage and road closures. Mitigation efforts integrated UAV technology for realtime monitoring and indigenous knowledge in the form of coping strategies passed down through generations. UAV data was also utilized for disaster simulation, community training, and evidence-based mitigation planning, such as designing retaining walls and evacuation routes. This study highlights the importance of combining UAV technology and indigenous knowledge to enhance community capacity for sustainable and independent disaster risk reduction in landslide-prone areas.

Keywords: Landslide, Unmanned Aerial Vehicle, Indigenous Knowledge, 3 Dimension, Mitigation.

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