Drones for Transportation Logistics and Disaster Management
by A. Prasanth, Rajesh Kumar Dhanaraj, Munish Sabharwal, Vandana Sharma, Seifedine Kadry
16Remote Assessments and Aerial Imaging Using UAV for Disaster Management and Precision Agriculture with Immediate Response – A Case Study
Kalaivanan Karunanithy1*, Bhanumathi Velusamy2 and A. Prasanth3
1School of Electronics Engineering, Vellore Institute of Technology, Chennai, India
2Department of ECE, Anna University, College of Engineering, Guindy, Chennai, India
3Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
Abstract
Advancement in Remote Sensing (RS) and Geographic Information System (GIS) allows non-destructive and timely observation of particular events. Precise and timely assessment of natural disasters such as earthquakes, landslides, forest fires, and volcanic eruptions is essential in giving an operational challenge for the research community. Unmanned Aerial Vehicles (UAVs) play a major role in remote sensing, which provides a feasible, accurate, and safe tool for analyzing the impacts of natural disasters and agriculture in real time. The sensor nodes and various imaging techniques are utilized to access the geographic information using UAVs and monitor the environmental consequences across different management practices. This chapter analyzes the use of various Machine Learning (ML) algorithms with the integration of UAVs to fetch valuable insights from the target field and provide accurate information. This helps the scientific community to extrapolate disaster management ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access