Land & Hydrographic Surveying (Universitas Gadjah Mada dual degree) MSc
Topographic Modelling and Landscape Monitoring GEOG5025
- Academic Session: 2026-27
- School: School of Geographical and Earth Sciences
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
An introduction to Digital Elevation Modelling. Basic coverage of photogrammetric and remote sensing principles Monitoring and modelling of landscape change.
Timetable
All classes and practicals will normally be on Fridays during the first half of semester 2 including an optional half-day field class.
Co-requisites
GEOG 5019 Principles of GIS or equivalent
Assessment
Assessment is based on a research briefing note (30%), the quality and rigour of the processing photogrammetric and/or LiDAR data to achieve a high-resolution digital elevation model (40%) and a report assessing the accuracy of the digital elevation model(s) and discussing geomorphic change based on the modelling output (30%).
Course Aims
This course aims to introduce the fundamental workflow to produce digital elevation models. It will focus on fundamental concepts of traditional and structure from motion multi-view stereo photogrammetry, LiDAR and data acquisition techniques using Unmanned Aerial Vehicles. Furthermore, it will provide a summary of selected principles and general applications of remote sensing. The course is directed towards teaching practical skills in using topographic information for monitoring and mapping landscapes and landscape change.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ discuss the data sources and the applications of topographic mapping and digital elevation modelling.
■ apply and evaluate the concepts and data sources used to produce digital elevation models with focus on structure from motion multi-view stereo photogrammetry and LiDAR.
■ critically assess the quality and visualisation of digital elevation models in monitoring landscape change.