In the lush, hilly landscapes of Tawangmangu Sub-district, Indonesia, a groundbreaking study is reshaping how we approach landslide risk assessment and mitigation. Led by Arlina Bunga Saputri from the Disaster Research Center at Sebelas Maret University, this research leverages the power of Unmanned Aerial Vehicles (UAVs) and 3D modeling to create a more resilient future for communities and industries alike, particularly in the energy sector.
Tawangmangu, with its steep slopes and frequent land-use changes, is a hotspot for landslide risks. Traditional methods of assessing these risks often fall short in capturing the full picture, leaving communities and critical infrastructure vulnerable. Enter UAVs and 3D modeling, a dynamic duo that is revolutionizing the field.
Saputri and her team used UAVs to capture high-resolution aerial images, which were then processed using Agisoft Metashape software to generate detailed 3D models. These models provided unprecedented insights into the location, volume, displacement, and distribution of landslide impacts. “The 3D models allowed us to see the landscape in a way that was previously impossible,” Saputri explained. “We could identify translational landslides and measure soil displacement volumes with remarkable accuracy.”
The results were eye-opening. Most of Tawangmangu Sub-district was found to be at medium risk for landslides, with some areas, like Sepanjang and Tawangmangu villages, facing the highest risks. The 3D models revealed soil displacement volumes ranging from -5409.3 m³ to -991,808 m³, causing significant infrastructure damage and road closures.
But this research isn’t just about identifying risks; it’s about mitigating them. The study integrated UAV technology for real-time monitoring and incorporated indigenous knowledge—coping strategies passed down through generations—to enhance community capacity. “Indigenous knowledge is a treasure trove of practical wisdom,” Saputri noted. “By combining it with cutting-edge technology, we can create more sustainable and independent disaster risk reduction strategies.”
For the energy sector, the implications are profound. Energy infrastructure, often located in remote and hilly areas, is particularly vulnerable to landslides. The ability to accurately assess and mitigate these risks can prevent costly damages, ensure continuous operation, and safeguard the lives of workers. Moreover, the use of UAVs for real-time monitoring and disaster simulation can aid in evidence-based mitigation planning, such as designing retaining walls and evacuation routes.
The study, published in the Journal of Applied Science and Engineering, also known as Jurnal Ilmu Terapan dan Teknik, highlights the importance of interdisciplinary approaches in tackling complex problems. By combining geospatial analysis, indigenous knowledge, and advanced technology, Saputri and her team have set a new standard for landslide risk assessment and mitigation.
As we look to the future, this research paves the way for more innovative and integrated approaches to disaster management. It’s a testament to how technology and traditional knowledge can come together to create a safer, more resilient world. For the energy sector, it’s a call to action—to embrace these technologies and strategies, and to work towards a future where landslides no longer pose an insurmountable threat.
