SPATIAL 7008 - Earth Observation
North Terrace Campus - Semester 2 - 2019
General Course Information
Course Code SPATIAL 7008 Course Earth Observation Coordinating Unit School of Biological Sciences Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 5 hours per week Available for Study Abroad and Exchange Y Incompatible SPATIAL 3010 Course Description Earth observation interprets image-based information gathered by space and airborne platforms using a wide range of sensors. This course examines the principles and application of remote sensing to a range of disciplines. Principles include the interaction of electromagnetic radiation with the Earth's atmosphere and surface, spectral characteristics of earth surface materials, and the nature of imagery collected by a variety of earth-observation sensors. We discuss the use of spectral data to identify and characterise objects (minerals, soils, vegetation, water), produce thematic maps and monitor changes over time. The nature and application of specialised forms of remote sensing including gamma radiometry, hyperspectral, radar and thermal imagery are also considered. These data are relevant to a wide range of applications including geology, environmental and agricultural science. Information is extracted using digital image processing: correction, enhancement and classification of the digital data and its integration with geographic information systems and field data. Practicals use specialist image analysis software to give hands-on experience with the basics of digital image processing and application to specific projects.
Course Coordinator: Dr Ken Clarke
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesA successful student in this course should be able to:
1 Explain the physical principles and concepts underlying common forms of remote sensing; 2 Describe the sources, nature and characteristics of common forms of remote sensing data; 3 Be able to locate sources of technical information about satellites, sensors and applications; 4 Be aware of new developments and trends in earth observation; 5 Perform a range of key digital image analyses using specialist software; 6 Interpret the information provided by digital imagery for a range of applications and prepare reports that incorporate outputs from digital image analysis software; 7 Describe how remote sensing is being used for a range of disciplines and applications; 8 Choose appropriate forms of remote sensing and recommend analyses for particular applications.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Required ResourcesThe course lecture notes and practical manual are the key resources for this course. Materials will provided on the MyUni website (http://myuni.adelaide.edu.au). Other teaching materials including lecture recordings, additional exercises and practical notes, course documentation and past examination papers will also be posted on this site.
Recommended ResourcesText and reference books
* Campbell, J.B. (2006). Introduction to Remote Sensing. 4th edn. Guilford Press.
Cracknell, A. (2007). Introduction to Remote Sensing 2nd. edn. Taylor and Francis.
Drury, S.A. (2001). Image Interpretation in Geology 3rd edn. Blackwell Science.
* Gibson, P.J. and Power, C. H. (2000). Introductory Remote Sensing Principles and Concepts. London, Routledge.
* Jensen, J.R. (1986). Introductory Digital Image Processing 2nd edn. Prentice Hall.
Jensen, J.R. (2007). Remote Sensing of the Environment: An Earth Resource Perspective 2nd edn. Prentice Hall.
* Lillesand, T.M. and Kiefer, R.W. (2000). Remote Sensing and Image Interpretation. 4th edn. John Wiley & Sons, New York.
McCloy, K. (2006). Resource Management Information Systems: Remote Sensing, GIS and Modelling. 2nd edn. Taylor and Francis.
Richards, J.A. and Xiuping, J. (1999). Remote Sensing Digital Image Analysis: An Introduction 3rd edn. Springer.
*Text is available in the reserve collection or short-term loan from the Barr Smith Library.
Numerous remote sensing journals are available online through the library. Key journals include
Canadian Journal of Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing
International Journal of Remote Sensing
Journal of Spatial Science
Remote Sensing Remote Sensing of Environment
A wealth of on-line remote sensing resources and learning materials are available. Details of some are provided via MyUni for the course.
Learning & Teaching Activities
Learning & Teaching ModesThe course consists of:
2 x 1-hour lectures per week
1 x 3 -hour practical session per week
The program is organised so that lectures provide background concepts, theory and applications of remote sensing, and are closely followed by practical sessions that implement these methods using image analysis software. Some scheduled lecture sessions will be used for interactive student exercises.
It is important to attend the lectures or listen to the recorded lecture materials prior to the corresponding practical session. The practical exercises will be difficult to understand without this background.
The assignments draw on knowledge and skills covered in several lectures and practicals, with additional interpretation, synthesis and presentation. If you attend and complete the exercises during practical sessions, you will have achieved much of the work required for the assignments.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.A student enrolled in a 3 unit course, such as this, should expect to spend, on average 12 hours per week on the studies required. This includes both the formal contact time required to the course (e.g., lectures and practicals), as well as non-contact time (e.g., reading and revision).
Learning Activities Summary
No information currently available.
Small Group Discovery ExperienceOne major assignment conmprises group collaboration on a research project involving application of remote sensing information and analyses
to an environmental or geoscience problem. Tasks involve review of relevant background research, selection and sourcing of appropriate
data, choice and conduct of analyses, interpretation of results and presentation in the form of a journal article.Students will be asked to provide peer-assessment of individual contributions to the final report, which may be used to moderate marks awarded.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Task Type Weighting Hurdle Learning Outcome Due Up to 4 assignments based on practical exercises Summative
No 1,2,3,4,5,6,7,8 Advised in course handbook Research project based on small group discovery Summative 20% No 1,2,3,4,5,6,7,8 Advised in course handbook Final Exam Summative 40% No 1,2,4,7,8 Exam period
Assessment DetailAssessments 1, 2, 3 and 4 are based on individual student submission of assignments. While students may work together during practicals, assignments must be individual and original work.
Assignment 5 is based on work conducted in small groups; one assignment is submitted for the group, with individual contributions clearly identified.
Assignment 1: Image Sources and Characteristics. (5% of total)Written assignment of short answers, based on lectures and practicals in weeks 1 and 2.
Assignment 2: Image enhancement and interpretation (10% of total)Illustrated written report based on practical exercises and lectures in weeks 3-5.
Assignment 3: Image classification (15% of total)Illustrated written report based on practical exercises and lectures in weeks 6 and 7.
Assignment 4: Hyperspectral analysis (10% of total)Illustrated written report of short answers based on practical exercises and lectures in week 8.
Assignment 5: Applied remote sensing assignment (20% of total)Illustrated written report based on practical exercises and lectures in weeks 10 and 11 and reading of journal articles.
Exam (40% of total)A 2 hour written exam drawing on lecture material, exercises and practicals. Comprises short answers, questions requiring calculations and diagrams and longer written explanations. Examples of previous exam papers are provided in MyUni.
SubmissionAssignments must be submitted electronically via MyUni. Ensure that you are familiar with procedures for doing this: if in doubt seek assistance in practical classes.
Do NOT email assignments to the lecturing or demonstrating staff – assignments are not accepted this way.
Extensions for Assessments
Extensions of deadlines for assessment tasks may be allowed for reasonable causes. Such situations
include compassionate and medical grounds of the severity that would justify the awarding of a replacement examination. Evidence for the grounds must be provided when an extension is requested.
Students are required to apply for an extension to the course co-ordinator before the assessment task is due. Extensions will not be provided on the grounds of poor prioritising of time.
Penalties for Late Submission
If an extension is not applied for, or not granted then a penalty for late submission will apply. A penalty of 10% of the value of the assignment for each calendar day that is late (i.e. weekends count as 2 days), up to a maximum of 50% of the available marks will be applied. This means that an assignment that is 5 days or more late without an approved extension can only receive a maximum of 50% of the mark
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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