Landslide Area Prediction using Machine Learning and Unmanned Aerial Vehicle (UAV) Imaging
Inventor
Landslides are a common natural hazard that poses significant risks to infrastructure, communities, and the environment. Our technology/work aims to provide an early warning system for potential landslides, enabling stakeholders to take proactive measures to prevent or mitigate the risks.By using machine learning algorithms, our technology/work can analyze terrain data and identify areas at high risk of landslides with a high degree of accuracy. This information can be used to develop landslide risk maps, inform land use planning, and guide infrastructure development.We also leverage the capabilities of UAV imaging to capture high-resolution imagery of terrain data, allowing for a detailed analysis of slope stability and other factors that can contribute to landslide hazards. Our technology/work can process this data in real-time, providing timely information to stakeholders and enabling them to make informed decisions.The potential applications of our technology/work include infrastructure development, land use planning, disaster prevention and management, and environmental conservation. By providing accurate and reliable landslide prediction capabilities, our technology/work offers stakeholders the promise of enhanced safety, reduced risks, and improved disaster resilience.
