Course coordinator
Professor Stuart Phinn
Please email to arrange a consultation time - s.phinn@uq.edu.auﾠ
Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
Remote sensing or earth observation, is one of the most important and widely applied methods for measuring, monitoring and understanding the atmospheric, terrestrial and aquatic environments of the earth (and other planets). Information extracted from images may be used in many ways, e.g., as a basis for mapping and monitoring changes to features (vegetation communities, land use type, soil types, mineral outcrops), biophysical properties (biomass of forest, crop yields, ozone concentration, soil moisture, building height) and for integration in geographic information systems (GIS) with other spatial data to support monitoring and management of natural and built environments. Remote sensing is taught in a number of courses at the University of Queensland and GEOM2000/7000 is the fundamental course. GEOM3001/7001 provides more advanced image processing skills, while various 3###/7### levels Special Topics presents a project based study in Biophysical Remote Sensing of a specific environment. GEOS3102 explains how remote sensing is used to measure global scale environmental changes.ﾠ The skills learnt in remote sensing also form essential tools for use in higher level physical geography, ecology, human and physical geography, archaeology and earth science courses, including geomorphology, hydrology, climatology, oceanography and geophysics. The content objective of the course is to understand: (1) how remotely sensed images are acquired; and (2) the biological, physical and chemical factors determining the appearance of natural and built environmental features in images. The process objective develops skills enabling you to solve an environmental science, monitoring, planning or management problem by selecting an appropriate remotely sensed data set and applying the relevant image processing, interpretation and analysis techniques to detect and measure the composition of the environment and its biophysical properties.
Course requirements
Assumed background
The pre-requisite for this subject is 8 units of undergraduate subjects. Students are not assumed to have any prior knowledge of remote sensing. If you have any concerns or special needs in relation to this course please see the course coordinator.
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
GEOM1000 or GEOS1300
Incompatible
You can't enrol in this course if you've already completed the following:
GEOM7000 or GEOS2301 or GEOS7302
Jointly taught details
This course is jointly-taught with:
GEOM 2000 runs concurrently with:
- GEOM7000 - Internal
- GEOM7000 - External
Course contact
Course staff
Lecturer
Demonstrator
Ms Gillian Rowan
Mr Avik Nandy
Mrs Joanna Smart
Mr Muhammad Hafizt
Mr Raja Ram Aryal
Mr Ilyas Nursamsi
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
For internal students and local external students, a single day field trip will be run in Week 3 of the course, based on the St Lucia campus, on either Wed, Thurs or Fri.
For external students only - there is a virtual/remote version of the field-day.
Internal Students are required to sign-on for one of the three days through links provided in Week 1 of classes.
There are no additional costs for this field trip.
Aims and outcomes
The content objectives of the course are to understand: (1) how remotely sensed images are acquired from satellites and aircraft ; and (2) how remotely sensed images can be used to map and monitor the biological and physical and properties of the earth's environments and human activities ocurring within them.
The process objective develops skills that would enable you to address an environmental monitoring problem by selecting an appropriate remotely sensed data set and applying the relevant image analysis and interpretation techniques.
The objectives of the course are achieved through (1) understanding of the lecture content and related reading material, (2) active participation in a field trip, (3) development of practical image analysis and processing skills in exercises, and (4) synthesis of and reflection on achieved knowledge in compilation of assignments and an exam or a remote sensing application review.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Explain how electromagnetic radiation is transferred through the atmosphere and interacts with atmospheric, oceanic, vegetation and terrestrial features.
LO2.
Identify the types of information able to be extracted from remotely sensed data on an environment(composition, configuration, biophysical and dynamics) and the methods used to do this in qualitative and quantitative forms.
LO3.
Plan, obtain, analyse and link field measurements with remotely sensed images at different spatial scales to produce maps of land cover and biophysical parameters.
LO4.
Understand the concepts of spatial, spectral, radiometric and temporal resolutions of remotely sensed data and how these concepts relate to remote sensing applications in different environments.
LO5.
Identify the range of commercially available airborne and satellite remotely sensed data sets, their geometric and radiometric properties, their limitations and how to acquire them.
LO6.
Identify, explain and apply the fundamental image interpretation elements (e.g., tone, texture, size, shape, pattern, site and association.
LO7.
Apply basic image pre-processing operations to produce image data sets that can be integrated with other forms of digital spatial data.
LO8.
Interpret images provided by optical (cameras, broad-band, hyperspectral and thermal) and active (imaging radar) sensors and explain the steps used to convert an image into a thematic map (e.g.land-cover) or quantitative map (e.g. water depth).
LO9.
Describe how remotely sensed data are applied in commercial, public-sector and research applications.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Practical/ Demonstration |
Practical 1 - Linking Field to Earth Observation Data
|
30% |
8/04/2025 2:00 pm |
| Practical/ Demonstration |
Practical 2 - Image Processing: Images to Information
|
30% |
13/05/2025 2:00 pm |
| Tutorial/ Problem Set |
Workshop 1 and 2 - Engagement Exercises: (1) Controversy in Land/Vegetation Clearing estimates and (2) Communication of an EO solution to an application/problem
|
10% |
23/05/2025 2:00 pm |
| Presentation |
Project Brief: Why Use Earth Observation for [insert your selected topic]
|
30% |
29/05/2025 2:00 pm |
Assessment details
Practical 1 - Linking Field to Earth Observation Data
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 30%
- Due date
8/04/2025 2:00 pm
- Other conditions
- Student specific.
- Learning outcomes
- L01, L02, L04, L06, L07, L08
Task description
The objectives of this assessment are to:
(1) To build core skills for interpreting and analyzing remotely sensed images and geospatial data derived from them, by understanding how the physical, biological and chemical properties of the atmosphere, water bodies, vegetation and soils, are measured by remote sensing instruments.
(2) To understand how the attributes or dimensions (spatial, spectral, radiometric and temporal) of an airborne or satellite imaging system control the environmental information measured in an airborne or satellite image data set.
Both of these objectives will be addressed using the data sets collected in the practical field day exercise from week 4.
Internal students - You will be applying geospatial and remote sensing processing techniques learnt in weeks 1-4 to the data sets you collected on the field practical day.
External students - You will be applying geospatial and remote sensing processing techniques learnt in weeks 1-4, and the virtual field trip, to a field practical data set provided to you and able to be accessed from the course Blackboard site.
Submission guidelines
Turnitin Link on Blackboard page
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section further below for information relating to extension and deferral applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date. For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Practical 2 - Image Processing: Images to Information
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 30%
- Due date
13/05/2025 2:00 pm
- Other conditions
- Student specific.
- Learning outcomes
- L04, L05, L06, L07
Task description
The objectives of this assessment are to:
1) Develop basic image display and analysis skills using ENVI, an industry standard image processing system;
2) Apply a geometric correction procedure to register an uncorrected satellite image to a corrected satellite image for the same area;
3) Develop and apply measures to assess how well your geometric correction worked;
4) Develop and apply a supervised classification process to map land-cover types in a satellite image ; and
5) Develop and apply measures to assess how well your image classification worked.
You are required to prepare and submit a report that includes:
- an outline of the procedures you applied;
- images, maps and graphics showing and explaining the results;
- short format (supported by appropriate literature) answers to a number of questions.
Submission guidelines
Turnitin Link on Blackboard page
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section further below for information relating to extension and deferral applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date. For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Workshop 1 and 2 - Engagement Exercises: (1) Controversy in Land/Vegetation Clearing estimates and (2) Communication of an EO solution to an application/problem
- Mode
- Written
- Category
- Tutorial/ Problem Set
- Weight
- 10%
- Due date
23/05/2025 2:00 pm
- Other conditions
- Student specific.
- Learning outcomes
- L02, L03, L05, L09
Task description
A document containing responses to two sets of summary questions to be answered after participation in and completion of workshops (1) and (2) .
Workshop 1-
This workshop provides experience in critically assessing two large public remote sensing projects in Australia to understand the differences in data sets, processing methods and outputs. By doing so students gain an understanding of how to select appropriate data and algorithms and how to apply them to deliver scientifically and legally justifiable data and information.
Workshop 2-
This workshop provides the essential briefing and materials required for you to complete the final piece of assessment in the course, "The Project Brief."
It also provides you with an opportunity to develop and obtain feedback on the material you will use for the "The Project Brief."
Submission guidelines
Submit via Turnitin on Blackboard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section further below for information relating to extension and deferral applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date. For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Project Brief: Why Use Earth Observation for [insert your selected topic]
- Mode
- Product/ Artefact/ Multimedia
- Category
- Presentation
- Weight
- 30%
- Due date
29/05/2025 2:00 pm
- Other conditions
- Student specific.
- Learning outcomes
- L02, L03, L04, L05, L09
Task description
The aim of this task is to integrate the practical skills and knowledge of earth observation you have developed in the course this assessment item requires you to prepare a recorded presentation providing a 5-minute long "project briefing" video.
You have to produce a "Briefing Video" to outline to an audience from the general public, how earth-observation/remote-sensing can be used to provide the information required to address an environmental, infrastructure, community, or socio-economic monitoring problem that you select based on your interests.
Your aim is to use the brief to convince the reader that, you :
- are addressing a real problem for industry, government or community;
- can demonstrate from previous published, scientific literature, that earth-observation can be used to address the problem;
- have selected the most suitable type of earth observation data;
- will apply a sequence of image processing operations that will deliver accurate, verifiable and use-able information; and
- can explain the limitations of the data and methods used.
All instructions for completing and submitting this assessment item, including an example presentation, are on the course Blackboard site in the "Assessment" folder, in the "Project Brief Presentation" folder.
Media to Use:
Your recording can be compiled using Powerpoint, Prezzi, or any other software.
The presentation will need to be based on material covered during the semester, along with significant amount of background research in peer-reviewed remote sensing literature.
The presentation will need to be based primarily on relevant graphic (images, maps, graphs, photos, diagrams), with limited use of detailed text, e.g. less than 30% of each slide.
Submission guidelines
Use Submission link provided in Assessment Section of course Blackboard Page.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section further below for information relating to extension and deferral applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date. For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Description |
|---|---|
| 1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
| 2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
| 3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
| 4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% |
| 5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% |
| 6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% |
| 7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% |
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Applications for Extensions to Assessment Due Dates
Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.
Please note:
- Requests for an extension to an assessment due date must be submitted through your my.UQ portal and you must provide documentation of your circumstances, as soon as it becomes evident that an extension is needed. Your application must be submitted on or before the assessment item's due date and time.
- Applications for extension can take time to be processed so you should continue to work on your assessment item while awaiting a decision. We recommend that you submit any completed work by the due date, and this will be marked if your application is not approved. Should your application be approved, then you will be able to resubmit by the agreed revised due date.
- If an extension is approved, you will be notified via your my.UQ portal and the new date and time for submission provided. It is important that you check the revised date as it may differ from the date that you requested.
- If the basis of the application is a medical condition, applications should be accompanied by a medical certificate dated prior to the assignment due date. If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a written statement (Word document) outlining why you cannot provide the documentation. You must then upload the documentation to the portal within 24 hours.
- If an extension is being sought on the basis of exceptional circumstances, it must be accompanied by supporting documentation (eg. Statutory declaration).
- For extensions based on a SAP you may be granted a maximum of 7 days (if no earlier maximum timeframe applies). See the Extension or Deferral availability section of each assessment for timeframes. Your SAP is all that is required as documentation to support your application. However, additional extension requests for the assessment item will require the submission of additional supporting documentation e.g., a medical certificate. All extension requests must be received by the assessment due date and time.
- An extension for an assessment item due within the teaching period in which the course is offered, must not exceed four weeks in total. If you are incapacitated for a period exceeding four weeks of the teaching period, you are advised to apply for Removal of Course.
- If you have been ill or unable to attend class for more than 4 weeks, you are advised to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty - seek advice from the Faculty that administers your program.
- Students may be asked to submit evidence of work completed to date. Lack of adequate progress on your assessment item may result in an extension being denied.
- There are no provisions for exemption from an assessment item within UQ rules. If you are unable to submit an assessment piece then, under special circumstances, you may be granted an exemption, but may be required to submit alternative assessment to ensure all learning outcomes are met.
Students may submit draft versions of their assessment items to the course coordinator at least five days prior to the due date to obtain feedback.
GEOM2000 and GEOM7000 will have similar assessment tasks, with GEOM7000 receiving extra tasks and with different grading criteria.
Permissable Use of Generative AI Content in Assessment Itemﾠ-
These tasks have been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.
Please follow UQ Guidelines from. - example below from https://guides.library.uq.edu.au/referencing/generative-ai-tools-assignments , you should include the following information when acknowledging the use of generative AI tools:Gen AI system (e.g. Copilot, Chat-GPT, Claude, Google AI)
- description of how you used the tool (e.g. edited/corrected/translated/planned/brainstormed)
- prompt(s) used
- part, section or page of the assessment piece
- date.
Assessment Submission
It is the responsibility of the student to ensure the on time, correct and complete submission of all assessment items.
Please ensure you receive and save the submission confirmation for all submitted items, you may be asked to produce this as evidence of your submission.
Turnitin
All written assessment must be submitted via the appropriate Turnitin submission portal, which can be found within the Blackboard site. You are responsible for ensuring that your submission is complete. It is wise to re-enter the Turnitin portal and confirm that your submission is there and that it has not been altered during the submission process.
By submitting work through Turnitin you are deemed to have accepted the following declaration “I certify that this assignment is my own work and has not been submitted, either previously or concurrently, in whole or in part, to this University or any other educational institution, for marking or assessment”.
In the case of a Blackboard outage, please contact the Course Coordinator as soon as possible to confirm the outage with ITS.
Assessment/Attendance
Please notify your Course Coordinator as soon as you become aware of any issue that may affect your ability to meet the assessment/attendance requirements of the course. The ﾠmy.UQﾠ website and the Course Profile for your course also provide information about your course requirements, the rules associated with your courses and services offered by the University.
A note for repeating students in this course
Any student who enrols in a courseﾠmust notﾠ be given exemption or partial credit from their previous attempt(s) for any individual piece of assessment.ﾠInstead, the student must successfully complete all of the learning activities and assessment items within the study period of enrolmentﾠ(PPL Assessment - Procedures).
If the same assessment item is set from one year to the next, repeating students are allowed to submit the same work they submitted in previous attempts at the course. Where possible SENV recommends that you use the feedback you received in your last attempt to improve parts of the item where you lost marks. Resubmission of an altered or unaltered assessment item by a repeating student (where the same assessment has been set) will not be considered as self-plagiarism.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Additional learning resources information
On-line Textbook Series - Essential Reading
https://www.eoa.org.au/earth-observation-textbooks
Additional links are provided in the on-line lecture notes.
Interactive website for revision of material (sections will be assigned from each week's lecture)
See: http://rscal.maitec.com.au/
Another useful reference books for remote sensing are:
Tempfli, K., ﾠKerle, N., ﾠHuurneman, G., Lucas, Janssen, L. Eds. ﾠ(2009) Principles of Remote Sensing - An introductory textbook
https://www.itc.nl/library/papers_2009/general/PrinciplesRemoteSensing.pdf
Chuvieco, E.ﾠ and Huete, A. (2009) Fundamentals of Satellite Remote Sensing. Taylor Francis.Social Sciences & Humanities library CollectionsﾠG70.4 .C5313 2010 ﾠ
Remote Sensing Professional Societies/Organisations:
Earth Observation Australia Inc.ﾠ ﾠ - www.eoa.org.auﾠ
Geospatial Council of Australia - https://geospatialcouncil.org.au/
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 (24 Feb - 02 Mar) |
Lecture |
Introduction to Earth Observation and Our Course Introduction to Earth Observation and Our Course - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L01, L02 |
Practical |
Practical - Introduction to Geospatial Data and Analysis and Earth Observation Practical - Introduction to Geospatial Data and Analysis and Earth Observation Learning outcomes: L02, L04 |
|
Week 2 (03 Mar - 09 Mar) |
Lecture |
Fundamentals of Earth Observation: 1. EMR (Electro-Magnetic-Radiation) fundamentals Fundamentals of Earth Observation: 1. EMR (Electro-Magnetic-Radiation)fundamentals - recorded Learning outcomes: L01, L02, L04 |
Practical |
Practical - Introduction to EO Image and Geospatial data/digital Essentials for Field Practical and Assessment Practical - Introduction to EO Image and Geospatial data/digital Essentials for Field Practical and Assessment Learning outcomes: L01, L02, L04, L08 |
|
Week 4 (17 Mar - 23 Mar) |
Fieldwork |
Earth Observation Field Practical Day Compulsory Field Practical Day - on St Lucia campus for internal students Generates data, knowledge and experience required to complete Practical 1. See Blackboard for dates. We recognize some of you have work and class commitments that clash, details will be provided in weeks 1and 2 of alternative arrangements. External students - will complete a "Virtual Field Practical Day" and receive data related to this for use in Practical 1. Learning outcomes: L02, L03, L04, L08 |
Lecture |
Fundamentals of Earth Observation: 2. Remote Sensing Sensors and Platforms Fundamentals of Earth Observation: 2. Remote Sensing Sensors and Platforms - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L02, L04, L05, L08 |
|
Week 5 (24 Mar - 30 Mar) |
Lecture |
Earth Observation Images to Information: 1) Earth Observation Processing Sequence, and 2) Analysis Ready (Earth Observation) Data Earth Observation Images to Information: 1) Earth Observation Processing Sequence, and 2) Analysis Ready (Earth Observation) Data - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L02, L04, L05, L07 |
Practical |
Practical 1 - Linking field to EO data – How to collect and process EO data (2 hrs F2F + online) Practical 1 - Linking field to EO data – How to collect and process EO data (2 hrs F2F + online) Learning outcomes: L01, L02, L04, L06, L08 |
|
Week 6 (31 Mar - 06 Apr) |
Practical |
Revision Practical 1 - Linking field to EO data – How to collect and process EO data (2 hrs F2F + online ) Revision Practical 1 - Linking field to EO data –: How to collect and process EO data (2 hrs F2F + online ) Learning outcomes: L01, L02, L04, L06, L08 |
Week 7 (07 Apr - 13 Apr) |
Lecture |
Earth Observation Processing: Accuracy and error assessment? Earth Observation Processing: Accuracy and error assessment? - recorded Learning outcomes: L02, L03, L04 |
Week 8 (14 Apr - 20 Apr) |
Lecture |
Earth Observation Processing: Data Selection/Evaluation, and Processing and Analysis Software Options Earth Observation Processing: Data Selection/Evaluation, and Processing and Analysis Software Options - recorded Learning outcomes: L02, L03, L05, L08, L09 |
Practical |
Practical 2 - Image Processing Sequence Software, Workflows and Practices (2 hrsF2F + online) Practical 2 - Image Processing Sequence Software, Workflows and Practices (2 hrsF2F + online) Learning outcomes: L02, L03, L04, L06, L07, L08 |
|
Mid-sem break (21 Apr - 27 Apr) |
No student involvement (Breaks, information) |
Mid-semester break - No classes Mid-semester break - No classes |
Week 9 (28 Apr - 04 May) |
Lecture |
Biophysical remote sensing fundamentals - atmosphere, vegetation, soils, water, ice…other planets! Biophysical remote sensing fundamentals - atmosphere, vegetation, soils, water, ice…other planets! - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L01, L02, L04, L09 |
Practical |
Revision Practical 2 - Image Processing Sequence Software, Workflows and Practices (2 hrsF2F) Revision Practical 2 - Image Processing Sequence Software, Workflows and Practices (2 hrsF2F) Learning outcomes: L02, L03, L04, L06, L07, L08 |
|
Week 10 (05 May - 11 May) |
Lecture |
Communicating Earth Observation Information - When, Why and How? Communicating Earth Observation Information - When, Why and How? - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L02, L03, L05, L09 |
Workshop |
Workshop 2 - Project Brief Design Workshop Workshop - Project Brief Design Workshop, Communication of an EO solution to an application/problem In person workshop and discussion for internal students, live for external students ONLY
|
|
Week 11 (12 May - 18 May) |
Lecture |
Industry/Government/Community Earth Observation Careers - Including guest speakers and panel Industry/Government/Community Earth Observation Careers - Including guest speakers and panel - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L02, L05, L09 |
Workshop |
Workshop |
|
Week 12 (19 May - 25 May) |
Practical |
Project Brief - Practical Group + Individual Discussions Practical design of EO image collection, correction, processing, analyses, validation and communication workflow, for final assessment item Learning outcomes: L02, L03, L05, L06, L09 |
Week 13 (26 May - 01 Jun) |
Lecture |
Earth Observation Futures and Future Study - Careers, Satellites, Sensors, AI, Ethics and anything else! Earth Observation Futures - Careers, Satellites, Sensors, AI, Ethics and anything else! - In person lecture and discussion for internal students, live for external students ONLY Learning outcomes: L02, L05, L09 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.