First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
INP8083500, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
IN2452, Degree course structure A.Y. 2018/19, A.Y. 2019/20
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Department of reference Department of Civil, Environmental and Architectural Engineering
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit CANNOT be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

No lecturer assigned to this course unit

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines M-GGR/01 Geography 6.0

Course unit organization
Period Second semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 6.0 48 102.0 No turn

Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2018 course timetable

Examination board
Examination board not defined

Prerequisites: Nothing
Target skills and knowledge: The course offers to students theoretical and practical knowledge on new geographic information technologies developed in the context of GIScience focusing on Unmanned Systems andDigital Earth.
The combination of theoretical approaches and practical application on the production of geographic data through the use of UAV its visualization through the Digital Earth allows students to effectively manage their professional activities in technical, social and active citizenship domains. Students achieving the teaching objectives:
- will know the main theoretical elements and of the scientific and cultural debate on the use of UAV and on digital earth
- will be able to use the potential of UAV to perform Drones For Good interventions
- will be able to use the potential of Digital Earth to manage different categories of projects and interventions on the territory
Examination methods: Preparation of a multimedia, cartographic or written, report about the geo-visualization of a specific territory with a UAV survey or the about the use of one of the Digital Earth technologies.
Assessment criteria: - Active participation in lectures and in the moodle platform
- Knowledge of the main cultural and technical issues Unmanned Systems and Digital Earth
- Ability to design a survey and process the collected data
- Ability to use Virtual Globe geo-browser
Course unit contents: Introduction to the course, cultural perspectives, professional perspectives in the use of Unmanned Systems and geo-visualization through Digital Earth.

- Introduction to Unmanned Systems, military origins and implications, commercial developments, civil applications.
- Drones for good: applications in sustainable citizenship and human rights.
- Unmanned Systems: components, sensor platforms.
- Terrestrial, aquatic and aerial platforms; applications and purposes of the surveys; perspective of future applications.
- Terrestrial and aquatic platforms, technical characteristics of the platforms; main sensors and applications.
- Aerial Platforms: Unmanned Aerial Vehicles (UAV). Multi-rotor and fixed-wing platforms; operation and technical characteristics; applications.
- Sensors for UAV and survey methodologies.
- Basics of photography for photogrammetric surveys
- Main survey methods and applications: protection of the territory, precision agriculture and agroecology, urban and building environments, perspectives for the use of new sensors.
- UAV survey: planning, implementation and post-processing of data.
- Regulations, roles and responsibilities of the professional figures involved in operations with UAV: customer, operator, pilot. Safety and security conditions; survey planning
- The evolution of aerial photography and aerial platforms before drones: balloons, kites, pigeons, rockets: historical analysis, potential and limits, possible current uses.

- 2D and 3D cartographic representations of territorial complexity through the use of emerging Digital Earth technologies. Historical evolution of approaches of the earth representation: projection and similarity.
- Main applications theater and desktop of Digital Earth: Science on a Spere, Magic Planet, GeoDome. Current and future technological solutions and historical origins.
- Virtual Globe geo-browsers: Google Earth Pro, Yandex, Bing Map 3D and NASA World Wind.
- Dionysian Apollonian visions of digital earth
- Big Earth Data
Planned learning activities and teaching methods: The course uses a participatory methodology including seminars organized by the students, analysis of case studies, role play. During the first lesson the professor delivers the list of texts to be discussed during the course. In turn the participants will be responsible for coordinating some seminar moments. Field surveys and flight demonstration with UAV by specialized operators are foreseen. At the Laboratory GIScience and Drones 4 Good (ICEA Departments), seminars will be held on the assembly of UAV, examining the components, open software, reflecting on autonomy in carrying out scientific research with the use of open UAV.
Additional notes about suggested reading: Other materials will be recommended during the course based on students' language skills. A Moodle teaching platform will be activated to accompany didactical activities. Students are recommended to register on the Moodle platform at the beginning of the course.
Textbooks (and optional supplementary readings)
  • Chamayou G., Teoria del drone. Principi filosofici del diritto di uccidere. --: Derive e Approdi, 2014. Cerca nel catalogo
  • Choi-Fitzpatrick A, Drones for good: technological innovation, social movements and the state. --: --, 2014. J Int Aff 68(1):1–18
  • Craglia M, Ostermann F, Spinanti L., Digital Earth from vision to practice: making sense of citizen-generated content. --: --, 2012. Int J Digital Earth 5(5):398–416
  • Yuan M., Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways. --: Taylor and Francis, 2016. in P. Thenkabail (ed.) Remote Sensing Handbook, Vol 1, Remotely Sensed Data Characterization, Classification, and Accuracies pp. 445-453