Course in physical principles in data capture with a drone
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Syllabus
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Summary
The physical principles course in data capture with a drone offers you the opportunity to immerse yourself in a field in full boom, where technology and data analysis are revolutionizing sectors such as agriculture, mining and environmental conservation. Through this formation, you will acquire a deep knowledge about remote sensing from drones, exploring concepts such as electromagnetic radiation and its interaction with the atmosphere and terrestrial covers. In addition, you will enter the world of geophysical techniques and the use of advanced sensors, from multispectral to Lidar, essential for precise data capture. Participating in this course will not only give you highly demanded technical skills in the labor market, but will also position you at the forefront of technological innovation, allowing you to contribute significantly in a global environment that increasingly values the precision and efficiency in the collection of information.
Goals
Professional opportunities
To prepare you
This course prepares you to understand the physical principles of data capture with drones, focusing on remote sensing and geophysical techniques. You will learn to evaluate the interaction of electromagnetic radiation with the atmosphere and terrestrial surfaces. In addition, you will acquire skills to select and use adequate sensors, such as multispectral, thermal and lidar, optimizing data collection and analysis. This will allow you to improve in decision making and problem solving in remote sensing projects.
Who is it addressed to?
This course is aimed at professionals and titled in areas of remote sensing and geophysics that wish to deepen the use of drones for data capture. Ideal for those who seek to better understand electromagnetic radiation, atmospheric and terrestrial interactions, and the selection of sensors such as multispectral, thermal or lidar to optimize their projects.
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Certification
Course title in physical principles in the capture of data with a drone with 200 hours issued by Structuralia
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