Remote Sensing and Farming

Course Description

This LU aims at providing the students with the fundamental knowledge of remote sensing principles and their practical applications in agriculture and forestry, enabling them to utilize remote sensing techniques in monitorization and optimization practices.

Learning outcomes

After the completion of the LU you should be able to have the following learning outcomes:

Knowledge

• Outline the principles of remote sensing and their applications in agriculture
• Recognize and discuss acquired and processed data images
• Identify challenges and limitations associated with using remote sensing techniques in agricultural contexts.

Skills and Competences

• Apply image processing software and techniques in remote sensing data.
• Analyse and interpret processed spatial data to assess indicators relevant to agricultural practices.
• Collect and utilize relevant data from various sources, including satellite imagery, aerial photographs, and other relevant data sets, for monitoring and analysis purposes.