The University of Southampton
Courses

GEOG6079 Topographic Data Analysis Techniques and Applications (ODL)

Module Overview

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. 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.

Aims and Objectives

Module Aims

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

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Understand the key concepts and terminology used in 3D remote sensing
  • Understand different sources of 3D remote sensing data (Stereo aerial photograph and satellite data, terrestrial and airborne laser scanner)
  • Understand the methods of deriving topographical information from aerial photographs and remote sensing imageries
  • Understand relevant areas and examples where 3D remote sensing data can be applied
  • Pursue knowledge in an ordered way
  • Use computational skills in the analysis of three dimensional terrain models
  • Conduct laboratory based analyses of 3D remotely sensed data (using Envi, ArcGIS and cyclone),
  • Use appropriate techniques to produce analytical products such as Digital elevation models(DEM), Digital terrain model (DTM) etc.
  • Critically analyse literature on the principles underlying and technological developments in 3D remote sensing

Syllabus

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 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

Special Features

This is an online module.

Learning and Teaching

TypeHours
Independent Study150
Total study time150

Resources & Reading list

Editor(s): Jie Shan; Charles K. Toth (2009). Topographic Laser Ranging and Scanning: Principles and Processing. 

Lillisand, T. M., Kiefer, R. W. & Chipman, J. W. (2003). Remote Sensing and Image Interpretation. 

Jensen J. R. (2007). Remote Sensing of the Environment: an earth resource perspective. 

Assessment

Summative

MethodPercentage contribution
Assignment  (1800 words) 33%
Assignment  (1800 words) 34%
Assignment  (1800 words) 33%

Referral

MethodPercentage contribution
Additional Work %
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