6 points, SCA Band 2, 0.125 EFTSL
Undergraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- Second semester 2017 (Day)
Remote sensing has become one of the important and widely applied methods for environmental and earth resource monitoring and evaluation. The information extracted from remotely sensed images may be used in many ways, e.g. as a
basis for mapping land use/cover, for understanding environmental processes and for estimating biophysical variables. This unit will introduce the basic concepts and principles of remote sensing, and prepare students with image interpretation and digital image processing skills with an emphasis on the use of remote sensing imagery for vegetation, atmosphere, geology, soils and landform analysis.
On completion of this unit student will be able to:
- To understand the major concepts and principles of remote sensing and digital image processing for environmental studies.
- To identify the types of information that can be extracted from remotely sensed data on the environment.
- To understand, explain and apply the fundamental image interpretation elements (e.g., tone, texture, size, shape, pattern, site and association)
- To visually interpret aerial photos and satellite images.
- To conduct digital image processing and analysis using a digital image processing system to extract information.
- To understand how remotely sensed data are applied in environmental applications.
Within semester assessment: 50%
Examination (2 hours): 50%
- Two hours of online activities per week
- One one-hour workshop per week
- Seven three-hour practical's during the semester
See also Unit timetable information
This unit applies to the following area(s) of study