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2015/16 Taught Postgraduate Module Catalogue

JUSO5251M Topographic Data Analysis Techniques and Applications (WUN)

15 creditsClass Size: 20

Module manager: Helena Sykes

Taught: 1 Apr to 30 Jun (Adv pre 2223), 1 Apr to 30 June View Timetable

Year running 2015/16

This module is not approved as an Elective

Module summary

The conventional two dimension plane showed in most of the remote sensing images neglect the 3D space of the real world. As of 3D visualization techniques become more common, visualization processing on the basis of remote sensing technique not only ensures the realization of real-time 3D visualization, but also is better for the interpretation of remote sensing images. There is a pressing need to develop robust techniques to derive detailed and accurate digital elevation models based on rapidly growing civilian spaceborne systems for example, Cartosat-1 and ALOS/PRISM. The combination of lectures and real world examples based practical experience will provide students with relevant training in one of the emerging field in the geo-information science.


Aims of this unit are to:
- introduce three dimensional remote sensing techniques and contemporary methods of deriving topographic information from three dimensional remote sensing and photogrammetric data;
- provide students with practical experience and training of interpreting and processing three dimensional remotely sensed data.

Learning outcomes
1. The key concepts and terminology used in 3D remote sensing.
2. Different sources of 3D remote sensing data (Stereo aerial photograph and satellite data, terrestrial and airborne laser scanner).
3. The methods of deriving topographical information from aerial photographs and remote sensing imageries.
4. Relevant areas and examples where 3D remote sensing data can be applied.

Skills outcomes
Students will be able to:
1. Critically analyse literature on the principles underlying and technological developments in 3D remote sensing
2. Analyse and interpret 3D remotely sensed data
3. Conduct laboratory based analyses of 3D remotely sensed data (Primary using GRASS-6.4.0), collected from different sources, in an appropriate and safe manner
4. Use appropriate techniques to produce analytical products such as Digital elevation models(DEM), Digital terrain model (DTM) etc.
5. Pursue knowledge in an ordered way
6. Produce fluent and comprehensive written reports on complex topics
7. Use computational skills in the analysis of three dimensional terrain models.


The module will be divided into two broad sections: Optical data and Laser scanning data

Optical data
- Introduction to photogrammetry: air survey camera; film; flying height; photo geometry
- Air photo interpretation: elements recognition; true and false colour imagery; anaglyphic viewing
- Photomapping: stereoplotting; air mosaics; orthophotography
- Digital photogrammetry: softcopy; close range; high resolution remote sensing
- Introduction to stereo satellite products
- Orthorectification and DEM generation from satellite data
- Environmental application of digital topographic products
- Software tools: ArcGIS, ERDAS Imagine

Laser scanning data
- Principle of Lidar remote sensing
- Acquisition and pre-processing of Lidar data (Terrestrial, airborne and spaceborne)
- Methods for 3D city models using pre-processed airborne and spaceborne lidar data
- Methods for extracting vegetation information from airborne lidar data
- Selected applications of terrestrial, airborne and spaceborne lidar data
- Software tools: ArcGIS, ERDAS Imagine

Teaching methods

Delivery typeNumberLength hoursStudent hours
Email/Phone Tutorial301.0030.00
Private study hours120.00
Total Contact hours30.00
Total hours (100hr per 10 credits)150.00

Private study

- To read papers: 80 hours
- To complete the assessments: 40 hours.

Opportunities for Formative Feedback

Through email communication and online discussion room.

Methods of assessment

Assessment typeNotes% of formal assessment
PracticalPractical of 1,500 words33.33
PracticalPractical of 1,500 words33.33
PracticalPractical of 1,500 words33.34
Total percentage (Assessment Coursework)100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 16/09/2015


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