Period: First semester

Course unit contents: 

- History of Earth Observation and Remote Sensing
- Principles of interpreting optical satellite or aerial images for environmental analysis.
- Open GIS platforms and WebGIS
- Geographical projections and data management in GIS software
- Introduction to the physics of electromagnetic radiation
- Remote sensing technologies, satellite platforms (with a focus on Copernicus) and remote sensing browsers (Earth - Explorer, Copernicus, Glovis and Earth Data Search).
- Multispectral data management and analysis in GIS and ENVI
- Introduction to digital terrain model acquisition (photogrammetry and LIDAR).
- Digital terrain model analysis and applications for environmental studies and hydrology
- Short introduction to SAR and its applications
- Basic examples of 3D subsurface representation in GIS environments

Planned learning activities and teaching methods: 

The course will use classroom teaching to impart knowledge of principles related to Earth Observation and geographic data management. The theoretical knowledge will be applied and consolidated through practical activities in in different GIS and spectral analysis softwares. Practical exercises will involve: i) Applying correct projections to different datasets; ii) Performing temporal analysis on satellite image time series; iii) Using WMS, WFS, WCS and other web services for geospatial data.
Acquired skills will be applicable to personal project on specific geographic areas selected by the student. The lessons and exercise will cover different applications and terrestrial environrments, like: mountain areas, glaciers, volcanoes, coasts, oceans, anthropic settings, etc.

During the course, the use of own personal computers with open source softwares will be strongly encouraged to foster independency in data analysis. However, different machines and a specific virtual server will provided to all participants as available platforms during lesson and exercise times. Additional machine time will be also available upon request to the instructor.

Teaching methods may be adapted to accommodate specific student needs or curiosities provided that these needs are communicated to the instructor through the appropriate institutional procedures. Similarly, individual and flexible learning paths may be arranged for students with certified SEN or SLD, depending on feasibility and in accordance with institutional policies.

In addition to contacting the course instructor, students with disabilities, Specific Learning Disorders (SLD), Special Educational Needs (SEN), and other health conditions can reach out to the Student Services Office - Inclusion Unit to receive more information about opportunities to access teaching with specific support and tools.

At the end of the course, students will be invited to complete a survey aimed at collecting feedback and suggestions to support the improvement of future editions.

The use of AI tools to prepare all possible elaborates is not allowed.

Last modified: Wednesday, 6 August 2025, 3:11 PM