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Second Semester 
Teaching style
Lingua Insegnamento

Informazioni aggiuntive

Course Curriculum CFU Length(h)


This course introduces students to the data, methods and remote sensing tools used for the study of the environment and, in particular, issues related to geological phenomena. The continuous observations by satellite systems of Earth Observation (EO) and the tools for mapping and analysis of the territory allow a better understanding of the geological dynamics in the broad sense, which are the basis of the understanding of the Earth system, fundamental for the development of sustainable solutions.
This course allows students to search and use images in the context of different disciplines of Geology: geomorphology, hydrology, land cover, disaster assessment. Students will learn the fundamentals of EO systems and tools (geo-portals, web-based tools and software) to analyze remotely sensed images in the field of multispectral optical data and recognize the morphological and spectral components of the earth's surface.
Potential topics covered in case studies and exercises include the application of lithological, structural and morphological recognition techniques of surfaces, land use and change in coverage (urban expansion, deforestation and irrigated agriculture); extreme weather events and hydrogeological risk (floods, landslides, droughts, fires).

On completion of the course, participants are able to:
• Apply the methods and use the tools of Remote Sensing
• How to search and use satellite images
• Identify and explain principles, concepts, methods and techniques relevant to the processing of Earth Observation data.
• To independently design and conduct research in the field of Remote Sensing according to scientific quality standards.
• Communicate the results of the research work orally and in writing to specialists and non-specialists.


The student must have completed the course of Cartography and GIS and have the basic information on the Geological topics.
The students should have the base knowledge of approaching the pc use and a basic knowledge of English language.
Prerequisites: none


The course consists of 48 hours of theoretical and practical lessons:
1 Basic Techniques
1.1 The Concept of Remote Sensing
1.2 The Electromagnetic Radiation Principles
1.3 The Electromagnetic Spectrum
1.4 Energy Propagation, Energy Interaction in the Atmosphere, Matter-Radiation Interaction
1.5 Spectral Features of Ground Constituents
2 Remote Sensing System Analysis and Main Missions
2.1 Space segment (The Bus)
2.2 The Orbits
2.3 Active and Passive Sensors
2.4 Medium resolution satellites
2.5 Weather satellites, Ocean satellites Earth, observation satellites
2.6 Very high-resolution commercial satellites
2.7 Radar satellites
2.8 The Hyperspectral Systems
2.9 Ground Segment

3 Image Processing and Interpretation
3.1 Thematic Mapper Bands
3.2 Feature Identification Map: elements of photointerpretation
3.3 False Color View and True color view
3.4 Other color combination
3.5 Image Enhancement
a) Contrast Stretching
b) Spatial Filtering
c) Principal Components Analysis
d) Image rationing
3.6 Information Extraction
a) Unsupervised Classification
b) Supervised Classification
c) Minimum Distance Classification
d) Maximum Likelihood Classification
4 Remote Sensing Applications
4.1 Geologic applications
4.2 Vegetation Applications: Agriculture, Forestry and Ecology
4.3 Urban and Land Use Applications
4.4 Hydrology: Flooding
4.5 Integration of Earth Observation in Geographic Information System
4.6 UAVs: flight planning and data acquisition

Teaching Methods

Teaching Tools: ppt presentations, thematic maps in digital format, computer room, sw ESRI ArcGIS and SNAP for data processing
Teaching methods: lectures, exercises and sw applications.
The teaching takes place in an integrated manner between the presentation of its theoretical concepts of geographic information and the application of the issues proposed to case studies.
Students have a PC and the sw required to follow the course properly.
Students are expected to attend continuously the course during which proposals are 5 to 7 tutorials, which take place in the laboratory according to a level of detail and increasing difficulty. Each tutorial in the classroom must be accompanied by the preparation of a summary report, which each student prepares and delivery before the examination.
The lectures are accompanied by seminars conducted by PhD students or experts in the Remote sensing field. Students are also welcome to use the classroom computer even outside normal lessons to deepen or repeat the exercises done during the course. In these hours the availability of accompaniment by a tutor, if available, may be given.

Verification of learning

The final test takes place with a practical test at the computer together with a written report and the oral examination; the evaluation is expressed by assigning a final mark out of thirty.
Particularly during the final test, which takes place in the computer, it prompts the student to solve a problem and to describe in a summary report on the procedure adopted. Following the completion of this practical test it is required the student to answer a number of questions that concern the theoretical concepts of digital mapping and geographic data analysis functions.
If the practical test is not performed brilliantly during the oral discussion you may be required to re-explain the procedure adopted in order to verify the student's capacity for autonomy in the proposed solution.
They contribute to the final evaluation reports conducted during the course related to laboratory exercises.


Remote Sensing: Principles and Interpretations Third Edition. Floyd S. Sabins

More Information

Teaching materials available to students: dedicated PC and SW ESRI ArcGIS and SNAP ; basic and thematic cartography in digital format distributed during the lessons ; slide (ppt presentations and PDF) used by the teacher during the lessons; texts of the exercises to be performed in the classroom and a concise guide to the performance; any extracts and documents of interest in digital format.

Questionnaire and social

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