32034 - Laboratory (2) (2nd cycle)

Learning outcomes

Study geomatic techniques of land data acquisition with photogrammetric, satellite, multispectral and classical topographic methods. Three-dimensional data representation techniques and creation of specific products for analysis and critical evaluation of territory, will be learned.

Course contents

At the end of two-year didactic pathway linked to the attendance of courses with scientific/technological characterisation (Introduction to Cartography and GIS, Geostatistical Analysis of Territorial Data, Geomatics, Remote Sensing) the student acquires competences to study the territory and environment with regard to multiple aspects (geomorphological, settlements, urban planning, cultural heritage, etc.), through an integrated multidisciplinary systemic approach to select the appropriate tools and techniques to acquire, integrate, process, analyse, archive and distribute georeferenced spatial data in digital format.

The aim of Laboratorio 2 is to provide practical training in various techniques for acquiring and processing spatial and non-spatial data for the purposes of advanced representations of models. Preference will be given to cases concerning representation of territory. Methods of photogrammetric acquisition, satellite data acquisition, laser scanning data and acquisition methods derived from classical measurements (using topographic instruments such as Total Station, levels) will be illustrated. Methods for managing three-dimensional data using digital photogrammetric stations and GIS environments will be illustrated. A seminar of a certain number of hours will be proposed with the aim of learning the basics of the Python programming language, mainly applied to GIS environment.

The course will be held at Geography Section Laboratory (via Guerrazzi, 20) of the Department of History, Culture and Civilisation and will include several practical exercises.

Regular, if not total, attendance is recommended.

The topics will be covered:

- Aerial and terrestrial photogrammetric survey techniques and photogrammetric data restitution

- Satellite survey techniques

- Notes on airborne and ground Laser Scanner survey techniques

- Production of three-dimensional terrain models and GIS management of digital information

- Production of three-dimensional models from historical cartography and historical images

- Fundamentals R for GIS environment

Readings/Bibliography

ATTENDING AND NON-ATTENDING STUDENTS

For all attending students, bibliography will be indicated at beginning and during the course. A text for further study is:

The Essentials of SAR: A Conceptual View of Synthetic Aperture Radar and Its Remarkable Capabilities. Autore: Thomas P. Ager - ISBN: 9798512864487

Teaching methods

ATTENDING AND NON-ATTENDING STUDENTS

The course consists of lectures and group exercises in computer teaching laboratory. At the beginning of the course, the lecturer will provide all information necessary for final examination, the bibliography and development of the teaching programme.

Attendance of at least 80% of scheduled hours is required of students.

Due to its highly applicative characterization, Laboratory 2 is NOT recommended for NON-attending students.

Scheduled hours are those equivalent to internships and will be divided between frontal lessons and exercises.

Assessment methods

ATTENDING AND NON-ATTENDING STUDENTS

The exam takes place in oral mode and the evaluation requires a ELIGIBILITY.

The learning assessment will take place with an oral exam through which the student's level of understanding in relation to the topics covered during the course will be verified. This will also take place through the discussion of the personal exercises that each student will carry out and complete independently (and under the guidance of the teacher).

Non-attending students, during the exam, will have to present the same exercises assigned by the teacher and the oral interview will be carried out in the same way.

ELIGIBILITY will be issued when the student demonstrates, during the exam, that he has carried out the exercise correctly and demonstrates that he has achieved a sufficient overall level of preparation in all the topics covered in the course.

Teaching tools

PowerPoint projection, PC and computer lab software for data visualisation and analysis. The teacher will provide all indications regarding use of specific software that tends to be OpenSource in nature or, in any case, demo versions of commercial software.

Students who require specific services and adaptations to teaching activities due to a disability or specific learning disorders (SLD), must first contact the appropriate office: https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students

Office hours

See the website of Marco Dubbini