GEOG208-22S2 (C) Semester Two 2022

Remote sensing for geospatial analysis

15 points

Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022


This course provides an introduction to remote sensing data for geospatial analysis. Students will develop skills for the acquisition of data from unmanned aerial vehicles (UAVs) and satellites. Practical work focuses on the preparation of data for use in a Geographic information system (GIS), while laboratory exercises will introduce a range of analytic software that can be used to prepare and examine remotely sensed data.

Remote Sensing data from satellite and airborne platforms is among the most important resources to obtain geospatial information in earth, biological, and social sciences. How can we make best use of this data? What are effective ways to access satellite data from data providers, and how can we effectively acquire our own data by using drones? Which kind of data from large to small scale should we acquire and use in various applications?

This lecture programme introduces fundamental characteristics of remote sensing data and techniques to handle data streams for deriving geospatial information. Lectures in the first term focusing on satellite methods are accompanied by weekly labs. The focus of the second term is about hands-on experience in using drones for deriving individual 3D maps. The result will be published in a GIS story map.

Learning Outcomes

  • Awareness of a range of remote sensing data from earth orbiting satellites and UAV sensors;
  • Understand fundamental characteristics of remote sensing data with relevance to GIS users;
  • Develop skills for remote sensing data analysis and the online publication of results;
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

      Employable, innovative and enterprising

      Students will develop key skills and attributes sought by employers that can be used in a range of applications.

      Globally aware

      Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.


Any 30 points of 100-level Science, Engineering or Commerce



Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 E6 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 A5 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Wednesday 14:00 - 17:00 Ernest Rutherford 211 GIS Comp Lab
25 Jul - 28 Aug
12 Sep - 23 Oct
02 Thursday 09:00 - 12:00 Ernest Rutherford 211 GIS Comp Lab
25 Jul - 28 Aug
12 Sep - 23 Oct
03 Thursday 12:00 - 15:00 Ernest Rutherford 211 GIS Comp Lab
25 Jul - 28 Aug
12 Sep - 23 Oct

Course Coordinator

Wolfgang Rack

Textbooks / Resources

• Gao, J. (2009). Digital analysis of remotely sensed imagery.
• Richards, J.A. (2006). Remote sensing digital image analysis: an introduction.
• Campbell, J.B. (2011) Introduction to Remote Sensing (5th edition).
• Lillesand, T.M. & Kiefer, R.W. (2000) Remote sensing and image interpretation, 4th edition

Indicative Fees

Domestic fee $892.00

International fee $4,563.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see School of Earth and Environment on the departments and faculties page .

All GEOG208 Occurrences

  • GEOG208-22S2 (C) Semester Two 2022