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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.