Description

Remote Sensing is an introductory course that provides a comprehensive foundation in satellite-based observation and analysis of the Earth. The course covers the physical principles of electromagnetic radiation, sensor systems, and the interaction of energy with natural and built environments. Students learn to interpret multispectral, hyperspectral, and radar imagery for identifying surface features, monitoring changes, and supporting geospatial decision-making. Practical components include working with satellite missions such as Landsat, Sentinel, and ASTER, as well as radar-based systems for mapping and analysis. The course places strong emphasis on essential processing steps, including image georeferencing, preprocessing, enhancement, classification, NDVI calculation, and thematic map generation using modern GIS and remote sensing software. Students also explore applications of remote sensing in environmental monitoring, land use analysis, hazard assessment, and resource exploration. Through hands-on exercises and case studies, participants develop the skills needed to extract accurate and meaningful information from satellite data. By the end of the course, students gain a solid understanding of how remote sensing supports scientific research and real-world problem solving.

Compétences requises

• Basic understanding of geology, geography, water or Earth sciences.
• General familiarity with Geographic Information Systems (GIS).
• Fundamental computer skills, including the ability to work with specialized software.
• Ability to analyze and interpret quantitative and visual data.
• Motivation to work with satellite imagery and spatial data processing tools.
• Interest in Earth observation, environmental analysis, or spatial research.

Compétences visées

• Ability to understand the physical principles of electromagnetic radiation and satellite sensor operation.
• Skills in interpreting multispectral, hyperspectral, and radar imagery for extracting meaningful geospatial information.
• Competence in georeferencing, preprocessing, enhancement, classification, and NDVI calculation using remote sensing software.
• Ability to work with satellite datasets such as Landsat, Sentinel, and ASTER for thematic mapping and analysis.
• Capacity to apply remote sensing techniques to environmental monitoring, land-use assessment, hazard analysis, and resource studies.
• Skills in integrating remote sensing outputs into GIS workflows for improved decision-making.
• Development of critical thinking for evaluating data quality, processing methods, and interpretation results.

Bibliographie

1.       Remote Sensing and Image Interpretation, T. M. Lillesand, R. W. Kiefer, J. Chipman

1. Introductory Digital Image Processing: A Remote Sensing Perspective, John R. Jensen
2. Remote Sensing of the Environment, John R. Jensen
3. Fundamentals of Remote Sensing, George Joseph
4. Remote Sensing: Principles and Interpretation, Floyd F. Sabins

Additional Recommended Sources

6.       The GIS and Geospatial Manual (for remote sensing + GIS integration)

1. Sentinel User Handbook (ESA)
2. Landsat Science Data Users Handbook (USGS)

MCC

Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation.

Régime d'évaluation

ECI (Évaluation continue intégrale)

Coefficient

1.0

Évaluation initiale / Session principale - Épreuves