1. Introduction to Remote Sensing: Basic Concepts, Applications in Infrastructure and Environment Projects.
2. Aerial photographs: Types, characteristics, stereoscopic vision, parallax.
3. Satellite Systems: Types of satellites, multispectral imaging.
4. Digital Images: Spectral channels, pixels, image structure.
5. Colour Compositions and Palettes: Image processing, colour enhancement.
6. Histogram Analysis: Statistical characteristics of images, region classification.
7. Algebraic – Logical Operations: Combinations of channels, applications in environmental projects.
8. Spectral Signatures: Land cover identification, feature extraction.
9. Classifications: Supervised and unsupervised image classifications.
10. Georeferencing: Use of ground control points, image overmatching.
11. Applications in Technical Projects: Monitoring deposits, use in watercourses, coastal zones.
12. Application Exercises: Use of remote sensing software (e.g. QGIS, ArcMap, ArcGIS, ENVI).

Learning Outcomes

With the successful completion of the course, the student will be able to:

• Distinguish the physical basis and the techniques for collecting remote sensing data.
• Recognise and interpret environmental elements through aerial photographs and satellite images.
• Apply basic georeferencing and spectral classification techniques for environmental mapping.
• Manage remote sensing data using appropriate software.
• Use remote sensing tools to support studies of civil engineering projects (such as hydraulic, transportation, or environmental projects).
• Interprets and combines remote sensing data with other geospatial information for making informed technical decisions.