Field Geomatics

Students will gain a thorough understanding of the principles, techniques, and instrumentation underlying advanced remote sensing tools, and explore their use in acquiring high-resolution spatial data for example in fields such as glaciology, geomorphological mapping, and 3D geological outcrop modelling.

This course focuses on the applications of Unmanned Aerial Vehicles (UAVs) and terrestrial Light Detection and Ranging (LiDAR) technology in the Earth Sciences, along with visualising and manipulating field geomatics

data within a Geographical Information System (GIS).

Throughout the course, participants will engage in hands-on projects, working with real-world datasets that

can be useful in a range of studies, such as investigating glacial dynamics, mapping complex landforms, and

creating virtual outcrops that enable detailed geological investigations. The course includes two days in the

field where students will plan, acquire, and process their own data. Students will develop expertise in data

processing, visualisation, and interpretation, equipping them for a wide range of research and industry

applications.

Studenten skal ved avslutta emne ha følgjande læringsutbytte:

Knowledge

The student

• can describe and discuss the utilisation of UAVs and terrestrial LiDAR in various Earth Science applications, particularly glaciology, landform mapping, and virtual outcrop analysis
• can explain the underlying principles, techniques, and instrumentation of UAV and LiDAR technologies
• can define and explain the strengths and weaknesses of UAV and LiDAR-based approaches for different geoscientific contexts
• can source and visualise diverse geospatial datasets generated using UAVs and terrestrial LiDAR
• can has a foundational knowledge of effectively implementing UAVs and terrestrial LiDAR in Earth Science research and industry

Skills

The student

• can safely plan, execute, and process UAV and LiDAR data collection campaigns in a variety of field settings
• can critically assess geospatial data, understanding its role in complementing traditional field studies
• can select suitable methods and technologies for characterising diverse landscapes and landforms using UAVs and LiDAR
• can independently perform basic geospatial analyses to characterize landscapes and landforms using UAV and LiDAR-derived data

General competence

The student

• can critically evaluate and draw on relevant literature related to remote sensing, geomatics, and GIS in the context of Earth Science applications
• can explain how geomatics can compliment traditional earth science methodologies
• can work as part of a team to co-ordinate data collection
• can produce thematic representations of their data within a report
• can explain the relevance and applications of geomatics for societ