Drone Technology and Drones for Environmental Science

Course provided by Model Institute of Engineering & Technology

5 modules

Master Drone Technology for Environmental Science

5 Level NCrF 

National Credit Framework

90 Hours 

Flexible Learning

Beginner Level

No prior experience required

Micro Course

03 Credit

Course Overview

This course introduces drone systems and their applications in environmental science. Learn how to operate drones, conduct simulations, and gather critical environmental data. Gain hands-on experience with real-world drone scenarios to monitor ecosystems, assess environmental changes, and support conservation efforts.

Key Learning Highlights

  • Explore drone systems designed for environmental monitoring
  • Hands-on simulation and practical flight training
  • Data collection and analysis for environmental research
  • Applications in conservation, forestry, water management, and climate studies
  • Develop skills for emerging roles in environmental technology and drone operations

Tools & Platforms Used

DJI Terra / DroneDeploy
QGIS / ArcGIS
MATLAB & Simulink
Python (DroneKit / OpenCV)

Learning Outcome

By the end of this course, students will be able to:

  • Understand the fundamental principles of drone technology and design.
  • Gain practical experience in building and operating drones.
  • Explore advanced concepts in aerodynamics, navigation, and autonomous systems.
  • Learn about the diverse applications of drones across industries.
  • Develop a comprehensive understanding of regulations and ethical considerations.

Master the course with just 5 Modules

Master the course in just 5 modules, covering drone fundamentals, environmental applications, simulations, hands-on practice, and data analysis to prepare you for real-world drone operations.

Module 1
  •  Introduction to Drone Technology and Design Overview of Drone Technology 
  • History and Evolution of Drones 
  • Types and Classifications of Drones 
  • Overview of Applications in Various Industries. 
  • Drone Components and Basic Design
  •  Key Components: Motors, Propellers, ESCs, Frames 
  • Flight Control Systems and Sensors – Basic Drone Design Principles.
  • Aerodynamics, Flight Mechanics, and Navigation Aerodynamics and Flight Mechanics 

  • Principles of Lift, Drag, and Thrust 

  • Stability and Control Mechanisms

  • Impact of Aerodynamics on Drone Design 

  • Navigation Systems and Communication 

  • GPS, GNSS, and IMU Integration 

  • Communication Protocols: RF, Wi-Fi, and LTE

  • Advanced Navigation Techniques.

  • Sensors, Payloads, and Autonomous Systems Advanced Sensors and Payload Integration
  • Camera Systems, LiDAR, and Infrared Sensors- Payload Design and Integration
  • Balancing Payload Weight and Drone Performance
  • Autonomous Systems and AI in Drones
  • Autonomous Flight Technologies
  • AI and Machine Learning Applications in Drones
  • Path Planning and Obstacle Avoidance.
  • Industry Applications and Regulations Industry Applications of Drones
  • Agriculture, Construction, Logistics, and Environmental Monitoring 
  • Case Studies of Successful Drone Implementations
  • Challenges and Opportunities in Various Sectors
  • Regulations, Safety, and Ethical Considerations
  • Global and Regional Drone Regulations
  • Safety Standards and Compliance
  • Privacy, Security, and Ethical Issues.
  • Future Trends, Case Studies, and Capstone Project Emerging Technologies and Innovations
  • The Role of Drones in Smart Cities and IoT -Predictions for the Next Decade.

Are you ready to take the next step toward your career?