32034 - Laboratory (2) (2nd cycle)

Course Unit Page

  • Teacher Marco Dubbini

  • Credits 6

  • Teaching Mode Traditional lectures

  • Language Italian

  • Campus of Bologna

  • Degree Programme Second cycle degree programme (LM) in Geography and Territorial Processes (cod. 0971)

  • Course Timetable from Feb 03, 2022 to May 06, 2022

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education

Academic Year 2021/2022

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 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 of Python language for GIS environment

Readings/Bibliography

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

Non-attending students
Bibliography will be the same as attending students and will be published at beginning of the course.


Teaching methods

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.

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

Assessment methods

The assessment of learning will be by means of an oral examination to check the student's level of understanding in relation to the topics covered in the course and will take place through discussion of the personal exercises that each student will carry out independently (and with the guidance of the lecturer).

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.

Office hours

See the website of Marco Dubbini