it
Politecnico di Torino
Academic Year 2015/16
04CSZQA
Remote sensing
Master of science-level of the Bologna process in Territorial, Urban, Environmental And Landscape Planning - Torino
Teacher Status SSD Les Ex Lab Tut Years teaching
Boccardo Piero ORARIO RICEVIMENTO O2 CEAR-04/A 44 16 0 0 19
SSD CFU Activities Area context
ICAR/06 6 D - A scelta dello studente A scelta dello studente
Subject fundamentals
The training course aims to deliver the basics related to the georeferenced data management, paying particular attention to aerial and satellite data acquisition.
Expected learning outcomes
The main aim is to deliver to student the ability to correctly identify environmental challanges and issues, to better understand possible data to be used, its suitability, and data processing chain in order to extract vaue added information in a common georeferenced system.
Students will be trained in:
- ground surfaces reflectivity and emissivity basics;
- electromagnegnetic sources, atmospheric layers and ground surfaces interactions;
- visual perception and colorimetry;
- reference systems and mapping basics;
- sensors data acquisition theory and applications;
- image processing;
- digital filtering;
- data classification;
- data analisys and avaluation
- environmental applications.

Related to technical communication:
- ability to fully analize complex environmental problems;
- ability to autonomously decide the best data processing chain;
- ability to assess results in a fully quantitative way;
This kind of expertise will be acquired also working directly on application cases admitting different technical solutions.
Prerequisites / Assumed knowledge
Students attending this training course, already know geomatics basics (digital mapping, GPS techniques, surveying) and computer science basics.
Contents
Teaching subjects are::
- Remote sensing definition
- Emissivity theory
- Electromagnetic spectra and black bodies
- Electromagnetic source and atmospheric interaction
- Electromagnetic source and ground surfaces interaction
- Visual perception and colorimetry
- Digital images and acquisition systems characteristics
- Data processing algorithms
- Information extraction: digital filters and classifications
- Extracted information assessment
Delivery modes
The traing course is delivered both by theorethical lessons and labs; in the latter, students will use PC to process digital images based on real cases. Every student will access a single PC and will be assisted during all the labs.
For the teorethical and labs parts, digital contets will be available since the beginning of the training course and labs will be duplicated based on the number of students attending.


Texts, readings, handouts and other learning resources
Specific didactic material will be available, in a digital format, since the beginning of the training course, both in Italian and in English.
Assessment and grading criteria
Evaluation will be based on written and/or oral examinations, both from teorethical and lab parts.

Programma definitivo per l'A.A.2015/16
Back