The course Physical Principles of Data Collection Using a Drone It opens the door to a rapidly expanding sector, where technology and innovation come together to offer new career opportunities. The demand for professionals trained in telemetry and geophysical techniques using drones continues to grow, driven by the need for accurate, real-time data in fields such as agriculture, the surveying and environmental management. This online course is designed to help you develop skills in the use of advanced sensors for data acquisition, enabling you to become a remote sensing expert. Through a dynamic and flexible approach, you’ll be immersed in the fascinating world of remote sensing and geophysical techniques, gaining in-depth knowledge that will set you apart in the job market. Become a leading figure in the field of drones and take the next step in your career.
Physical Principles of Data Collection Using a Drone
Science and Technology
40 hours
Introduction
Objectives
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To understand the principles of remote sensing as applied to drones and its relevance in the data capture.
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Identify geophysical techniques which can be implemented using drones.
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Understanding the different types of sensors used for data collection from drones.
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To assess the accuracy and efficiency of the geophysical data collected using drones.
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Apply theoretical concepts to optimise the data collection detected remotely.
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To analyse the advantages and the limitations of sensors when collecting data using drones.
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Integrate knowledge of remote sensing and geophysics to improve the decision-making.
Table of Contents
TEACHING UNIT 1. REMOTE SENSING USING DRONES
1. Objectives
2. Definition and concepts of remote sensing
3. Electromagnetic radiation
4. Interactions between the REM and the atmosphere
5. Interactions between the REM and land cover
6. The spectral response
TEACHING UNIT 2. GEOPHYSICAL TECHNIQUES USING DRONES
1. Objectives
2. An Introduction to Geophysics
3. Geophysical surveys
4. Conclusions
TEACHING UNIT 3. SENSORS FOR DATA ACQUISITION
1. Objectives
2. Sensors: Concepts of resolution
3. Types of sensors
4. Sensors in the visible spectrum
5. Multispectral sensors
6. Hyperspectral sensors
7. Thermal sensors
8. Lidar sensors
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