After successful completion of the course, students are able to describe how Earth observation data are acquired, processed and used. They will also be capable of putting the rapid developments in the field of Earth observation into the context of broader technological trends, climate change, environmental challenges, and societal needs.

Guided by remote sensing experts, the students will discuss and advance concept for the monitoring of a selected component of the Earth's system using satellites and airborne sensors taking into account:

• User requirements
• State-of-the-art solutions
• Technological advances
• Scientific algorithms and Artificial Intelligence

The course combines lectures and teamwork, whereas the lectures lay the ground for organising the student's work into several teams. The content of the lectures covers an overview of the field of Earth observation, sensing techniques, data processing, and applications. The teams will be organised in such as a way as to develop an understanding of user requirements, the capabilities of different remote sensing techniques (optical, lidar, radar, etc.), data management and processing, and scientific algorithms. The outcome will be concepts to improve specific aspects of Earth observation monitoring capabilities.

Students shall be familar with team work and have the capability to share their expertise (geodesy, environmental engineering, data science, etc.). with students coming from other fields.

Grading will be based on the following components:

• Teamwork (45%)
• One multiple choice question proposed by each student (25%)
• Participation in an online multiple choice test that is based up on the collection of questions proposed by the students (30%)
• Extra points (10%) can be obtained for self-generated CC BY graphics

The grading scale is as follows: Very Good 86-100%, Good 74-86%, Satisfactory 62-73%, Adequate 50-61%, Unsatisfactory < 50%.

There will be one substitute date for the online multiple choice test in case of justified absence from the main test.

Presentation slides and selected papers/technical documents will be made available on TUWEL. Interested students may obtain a script from INTU that was the basis for the predecessor course of the same name.

Background in technical or natural sciences.