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Drones for Transportation Logistics and Disaster Management
book

Drones for Transportation Logistics and Disaster Management

by A. Prasanth, Rajesh Kumar Dhanaraj, Munish Sabharwal, Vandana Sharma, Seifedine Kadry
December 2025
Intermediate to advanced
432 pages
11h 18m
English
Wiley-Scrivener
Content preview from Drones for Transportation Logistics and Disaster Management

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 ...

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Publisher Resources

ISBN: 9781394386420