Course Title: Conduct advanced remote sensing analysis

Part B: Course Detail

Teaching Period: Term1 2010

Course Code: GEOM5112C

Course Title: Conduct advanced remote sensing analysis

School: 130T Engineering (TAFE)

Campus: City Campus

Program: C6098 - Advanced Diploma of Spatial Information Services

Course Contact : Anna Galluzzo

Course Contact Phone: +61 3 9925 4334

Course Contact

Name and Contact Details of All Other Relevant Staff

William Ntuwah
9925 4445

Stephen Larsen

Nominal Hours: 120

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites


Course Description

This unit of competency specifies the outcomes required to enhance, classify and process remotely sensed data, using both hard copy and digital imagery in a geographic information systems (GIS) context. It requires the ability to apply wide-ranging specialised technical, creative and conceptual skills, a broad knowledge of spatial datasets, and accountability for personal and group outcomes. Functions will entail complying with and developing or amending organisational guidelines.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSIS6017A Conduct advanced remote sensing analysis


1. Determine appropriate digital image processing techniques.

Performance Criteria:



2. Select suitable computing platforms and software systems.

Performance Criteria:



3. Conduct image enhancements and manipulations.

Performance Criteria:



4. Perform supervised and unsupervised classifications on datasets.

Performance Criteria:



5. Conduct data merger and GIS integration.

Performance Criteria:


Learning Outcomes

Details of Learning Activities

Teacher led :

Classroom &/or tutorial instruction in the outcomes required to conduct advanced remote sensing analysis and tasks associated with the elements above including the use of computers and relevant software/s, capabilities of survey methodologies and technologies in a simulated workplace environment.

Student managed:

Develop data management strategies to conduct advanced remote sensing analysis to industry standards.
Participation in group activities based on simulated workplace exercises.
Individual exercises carrying out research, computations, data compilation and appraisal.

Teaching Schedule

The teaching schedule is available in the Distributed Learning System (Blackboard). Refer to it for any changes or announcements.

Learning Resources

Prescribed Texts


Other Resources

Refer to:

Overview of Assessment

Assessment may incorporate a variety of methods including written/oral activities and demonstration of practical skills to the relevant industry standards. Participants are advised that they are likely to be asked to personally demonstrate their assessment activities to their teacher/assessor. Feedback will be provided throughout the course.

Assessment Tasks

Assessment of this unit will involve completion of the simulated workplace project and the Evaluation of portfolio, using a checklist, of the performance of elements of competence as designated for this unit to the required standard including collection methods and techniques related to the project objectives.

Observation, using a skills checklist, of performance of elements of competence as designated for this unit to the required standard during practical fieldwork exercises within a simulated workplace project.

Assessment will require demonstration of:

• Consistence performance of each element of the unit across a representative range of applications, autonomously and to requirements
• Performance criteria for each element of competence
• Underpinning knowledge and skills specified.

Assessment Matrix

The Assessment and Assessment Matrix are available in the Distributed Learning System (Blackboard). Refer to it for any changes or announcements.

Other Information

This is a new course in 2010.

Course Overview: Access Course Overview