Year
2021
Units
4.5
Contact
1 x 2-hour lecture weekly
1 x 3-hour computer lab weekly
Enrolment not permitted
STEM8006 has been successfully completed
Assumed knowledge
A basic understanding of geographical coordinate systems, map projections and datums. In addition, a basic appreciation of the electromagnetic spectrum and how different components of it are utilised by remote sensing instruments is desirable. Training in these areas will be provided to students who are identified as lacking in this background.
Assessment
Report, Test(s)
Topic description

This topic introduces the technology, application and issues associated with airborne remote sensing. Students will learn how to design an airborne mission for remotely piloted and piloted aircraft carrying various passive and active sensors. The theory and practice of using digital photogrammetry to measure ground and surface models will be explored, followed by the use of airborne laser scanners (LiDAR) to measure similar objects. Image processing techniques applied to airborne thermal imagery will be used to detect thermal anomalies and lifeforms. The application of airborne hyperspectral images and imaging radar will be reviewed. In this topic students will actively participate in airborne image capture from remotely piloted aircraft.

Educational aims

This topic aims to educate students in the design of airborne missions for the capture of remotely sensed data and in the processing of remotely sensed imagery to create products such as orthometric images, digital surface models, 3D object models and thermal maps. Students will also gain an understanding of the application of these technologies to a range of applications.

Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Design an airborne mission for a remotely piloted or piloted aircraft carrying various remote sensing equipment
  2. Define image orthorectification and apply the steps involved in creating point clouds, digital surface and digital terrain models from airborne LiDAR and photogrammetry
  3. Apply computer processing to airborne image capture
  4. Identify the principal concepts of RADAR and hyperspectral remote sensing and their use in a range of applications
  5. Successfully communicate the results of airborne image processing to remotely sensed data

Key dates and timetable

(1), (2)

Each class is numbered in brackets.
Where more than one class is offered, students normally attend only one.

Classes are held weekly unless otherwise indicated.

FULL

If you are enrolled for this topic, but all classes for one of the activities (eg tutorials) are full,
contact your College Office for assistance. Full classes frequently occur near the start of semester.

Students may still enrol in topics with full classes as more places will be made available as needed.

If this padlock appears next to an activity name (eg Lecture), then class registration is closed for this activity.

Class registration normally closes at the end of week 2 of each semester.

Classes in a stream are grouped so that the same students attend all classes in that stream.
Registration in the stream will result in registration in all classes.
  Unless otherwise advised, classes are not held during semester breaks or on public holidays.