- Code ENVS3019
- Unit Value 6 units
- Offered by Fenner School of Environment and Society
- ANU College ANU Joint Colleges of Science
- Course subject Environmental Science
- Areas of interest Geography, Advanced Computing, Environmental Science
- Academic career UGRD
- Dr Bruce Doran
- Mode of delivery In Person
- Co-taught Course
Second Semester 2021
See Future Offerings
This course has been adjusted for remote participation in Sem 2 2021 due to COVID-19 restrictions. On-campus activities will not be available.
Remote Sensing and Geographic Information Systems have advanced rapidly in recent decades and now play an important role in environmental fields including land and water management, forestry, climate science, biodiversity conservation, urban and rural planning, and social research. Spatial data are becoming increasingly accessible and are being utilised by a wide range of government and research agencies, consulting firms and other private businesses. This course provides the theoretical knowledge and practical skills needed to use remote sensing and GIS data and techniques to address applications in environment and society. It provides a true enabling technology for the earth, life and social sciences and a rich source of computational and representational challenges for the computer sciences. The course exposes students to a range of biophysical and social applications for remote sensing and GIS, from which each student independently investigates and writes a research paper.
Upon successful completion, students will have the knowledge and skills to:
- Understand spatial environment and society research and applications
- Synthesise and apply that knowledge to formulate new applications
- Pursue a guided investigation of a topic involving remote sensing and/or GIS
- Communicate the results of that investigation in seminar and written formats
If you do not meet the requisites for this course, it may be possible to receive a permission code. If you are prompted for a permission code on ISIS, please request one online via the following form.
- Examination — GIS (25) [LO 1,2]
- Examination - Remote Sensing (25) [LO 1,2]
- Short research paper - GIS (25) [LO 3,4]
- Short research paper - Remote Sensing (25) [LO 3,4]
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The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component which may consist of 36 hours of computer laboratories.
- Approximately 94 hours of independent student research, reading and writing.
Students are expected to actively participate and contribute towards discussions.
Requisite and Incompatibility
Assumed KnowledgeCompletion of ENVS2015 GIS and Spatial Analysis or equivalent is strongly recommended.
Knowledge equivalent to that acquired by taking ENVS2015 is assumed.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6420||26 Jul 2021||02 Aug 2021||14 Sep 2021||29 Oct 2021||In Person||View|