EV5506 - Remote Sensing
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
Online learning 9 weeks prior to commencing subject on campus
If you are training to become a town planner, an environmental scientist, a geographer,
a geologist, a marine scientist, a biologist, a natural resource manager, this subject
is for you. Become a leader in your field and learn how to generate your own spatial
data instead of relying on old and often irrelevant information services. The science
of remote sensing is advancing rapidly as sophisticated sensors obtain data with increasingly
detailed spatial, spectral, temporal resolution. This has resulted in our ability
to extract quantitative, biophysical data (eg temperature, rainfall, biomass, vegetation
cover, rock types and mineral composition, urban features). Such information is becoming
increasingly important in many professions. This subject focuses on the applications
of airborne and satellite remote sensing to terrestrial environments for resource
inventory, monitoring and environmental problem solving. The theory and practice of
relevant image interpretation and digital image analysis techniques are covered through
practical and project work.
Learning Outcomes
- master a wide range of skills encountered in GIS practice;
- have a sound basis to the underlying theory of remote sensing;
- have an awareness of the scientific applications of remotely-sensed;
- use data and analytical techniques to address specific environmental problems.
Subject Assessment
- Written > Test/Quiz 1 - (25%) - Individual
- Assignments - (25%) - Individual
- In-class test 15% written, and 35% oral - (50%) - Individual.
Assumed Knowledge:
|
Students must have a basic understanding of GIS which includes knowledge of cartography.
EV5505 or EV2502 or will have acquired equivalent knowledge through industry experience.
|
Inadmissible Subject Combinations:
|
EV3506 |
Availabilities
|
Cairns,
Study Period 9,
Mixed attendance
|
Census Date 05-Oct-2023 |
Non-standard start/end 18-Sep-2023 to 24-Nov-2023 |
Face to face teaching
20-Nov-2023 to 24-Nov-2023
|
Coord/Lect: |
Assoc. Professor Karen Joyce. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 28 hours lectures
- 28 hours tutorials
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.