Content, progress and pedagogy of the module

Students who complete the module will acquire the following knowledge, skills and competencies:

Learning objectives

Knowledge

• the role of geoinformation in e-Gov
• spatial data infrastructure (SDI),standardisation of geographic information according to ISO, Open Geospatial Consortium, and INSPIRE
• the role of crowd sourcing in data collection (Volunteered Geographic Information (VGI), Citizen Science, and PPGIS)
• available data sources like Copernicus and various geoportals like the Danish Data Distribution portal
• remote sensing using satellites, UAV (unmanned aerial vehicles) and laser scanning systems (aerial and land based)
• modern methods for distributing geospatial information
• handling and storing geospatial information
• the use of modern data acquisition methods for developing applications in smart cities, precision farming, and environmental monitoring

Skills

• being able to compare and assess different data acquisition technologies.
• being able to understand the principles of handling huge amounts of geographic information (Big Data)
• being able to understand the importance of standardisation and data quality, including the use of metadata
• being able to understand the importance of geographic information in solving societal challenges

Competences

• in advising on the selection of appropriate data acquisition methods for specific applications
• in advising on the use of different data handling methods

Type of instruction

Lectures, workshops, seminars, assignments, presentations.

Exam

Exams