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MSc Geographical Information Science

Year of entry: 2020

Course unit details:
Environmental Remote Sensing

Unit code GEOG60942
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Geography
Available as a free choice unit? No

Pre/co-requisites

None but absolute beginners should have worked through the CCRS Fundamentals of Remote Sensing online tutorial before starting the course.

Aims

To provide an understanding of the different ways in which remote sensing data can be used to monitor the Earth’s surface. The unit provides a firm foundation in the principles and practice of remote sensing across a range of scales and perspectives.

Learning outcomes

Students should:

  • Have an understanding of key principles in Earth observation (EO), including: spectral signatures, vegetation indices; image classification; image spatial, temporal, spectral and radiometric resolution
  • Develop an awareness of the wide range of remote sensing systems and understand how and why they suit different environmental applications.

Teaching and learning methods

Lectures, practicals, exercises, project work, directed reading, web-based tutorials. All course materials are available on Blackboard.

Knowledge and understanding

Students should:

  • Be able to handle and apply technical concepts in EO and critically evaluate the results.
  • Be able to critically assess and evaluate the suitability of EO satellite and airborne images and derived products for particular applications.
  • Develop research skills including reading, critically judging and evaluating scientific evidence; abstracting and synthesising ideas and inform

Intellectual skills

Studnets should:

  • Be able to handle and apply technical concepts in EO and critically evaluate the results.
  • Be able to critically assess and evaluate the suitability of EO satellite and airborne images and derived products for particular applications.
  • Develop research skills including reading, critically judging and evaluating scientific evidence; abstracting and synthesising ideas and inform

Practical skills

Students should:

  • Be able to handle remote sensing data from a range of systems using computers and appropriate software
  • Apply key algorithms to interpret remotely sensed imagery
  • Manage raster data and other spatial data files
  • Source appropriate EO images from online image archives

Transferable skills and personal qualities

Studnets should:

  • Be able to communicate and express geospatial ideas and results in written, oral and visual form (e.g. images and graphs)
  • Develop skills of time management and bibliographic research

Assessment methods

Method Weight
Written assignment (inc essay) 40%
Report 60%

Feedback methods

Formative feedback will take place through in class discussions and summative feedback will be provided as written feedback.

Recommended reading

Core texts:

  • Campbell, J.B. and Wynne , H.R.(2011) Introduction to Remote Sensing. London: Taylor and Francis, 5th edition. [Older editions of Campbell are also useful]
  • Lillesand,T.M. Kiefer,R.W. & Chipman, J.W. (2008) Remote Sensing and Image Interpretation, New York: Wiley International, 6th edition. [ISBN 978-0-470-05245-7]

Other learning materials:

  • Mather, P.M. and Koch, M. (2010) Computer Processing of Remotely Sensed Images, Fourth edition, Wiley, Chichester, Chapters 1 and 2.
  • Canadian Centre for Remote Sensing (CCRS) tutorial: Fundamentals of Remote Sensing.

http://www.nrcan.gc.ca/earth-sciences/geomatics/satellite-imagery-air-photos/satelliteimagery-products/educational-resources/9309

  • Remote Sensing Core Curriculum, http://www.r-s-c-c.org/
  • Jensen, J.R. (2006) Remote Sensing of the Environment: an Earth Resource Perspective. New Jersey: Pearson Prentice Hall 2nd edition. [ISBN 0134897331]

NASA Remote sensing education resources for students, http://landsat.gsfc.nasa.gov/?page_id=2378 e.g Earth Exploration Toolbook

Study hours

Scheduled activity hours
Lectures 30
Independent study hours
Independent study 120

Teaching staff

Staff member Role
Angela Harris Unit coordinator

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