Topographic Modelling and Landscape Monitoring GEOG5025

  • Academic Session: 2024-25
  • 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

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.

Requirements of Entry

Evidence of appropriate background in GIS

Co-requisites

GEOG 5019 Principles of GIS or equivalent

Assessment

Assessment is based on a research briefing note  (30%) and a report on a computer practical exercise (70%).

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

 

The coursework exercise cannot be repeated.

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.

Minimum Requirement for Award of Credits

Attendance at all practical sessions