Students are permitted and encouraged to use AI tools such as ChatGPT, Gemini, Copilot or other approved AI tools. However, marks will be awarded primarily for the student's prompt design, critical evaluation, verification, correction and engineering interpretation, and not for reproducing AI-generated content.
Students must submit:
The AI tool used.
The exact prompts given to AI.
Important AI-generated responses.
Their verification/correction of the AI response.
Final student interpretation and conclusion.
AI-generated responses without critical evaluation will not receive full marks.
A satellite image contains vegetation, water bodies, built-up area and bare soil.
Use an AI tool to answer the following:
Submit the prompt and AI response.
Critically verify the AI response using your knowledge of Remote Sensing. Identify any two statements that require correction, clarification or additional scientific explanation.
(2 Marks)
Based on the verified information, prepare a table showing suitable spectral characteristics or bands for distinguishing the four features.
(1 Mark)
Explain how AI can assist in image interpretation and identify one limitation of relying only on AI.
(1 Mark)
A local authority wants to identify a suitable location for a new community water facility. The available datasets are:
Existing facility locations
Population distribution
Road network
Land-use map
Slope/elevation data
Use AI to develop a step-by-step GIS methodology for selecting a suitable site.
Submit the exact prompt and AI response.
(2 Marks)
Examine the AI-generated methodology and identify two missing, unsuitable or incomplete steps. Correct them.
(2 Marks)
Develop your own GIS workflow showing the sequence of analysis from data collection to final site selection.
(2 Marks)
Write a prompt that would help AI generate a suitable thematic map design, including the essential map elements.
(1 Mark)
A rapidly urbanising area experiences frequent flooding. The following datasets are available:
Satellite imagery
DEM
Rainfall data
Drainage network
Land-use/land-cover map
GPS locations of past flood events
Design an effective AI prompt asking for a methodology to identify flood-prone areas using Remote Sensing, GIS and GPS.
(1 Mark)
Use AI to generate the methodology and submit the response.
(1 Mark)
Critically examine the AI-generated methodology and identify at least three issues, such as:
Missing data
Incorrect geospatial analysis
Lack of validation
Inappropriate methodology
Missing engineering considerations
(2 Marks)
Develop a corrected methodology in the form of a flowchart.
(3 Marks)
Based on the proposed analysis, suggest two engineering interventions for reducing urban flood risk.
(1 Mark)
Satellite images of a city are available for 2015, 2020 and 2025. Preliminary analysis indicates:
Increase in built-up area
Reduction in vegetation
Reduction in open land
Use AI to identify an appropriate methodology for performing multi-temporal land-use/land-cover change analysis.
Submit the prompt and AI-generated methodology.
(1 Mark)
Verify the methodology. Identify one potential error or limitation in using AI-generated methodology directly for this analysis.
(1 Mark)
Prepare your own flowchart for conducting the temporal analysis.
(2 Marks)
Based on the possible land-use change, provide one urban planning recommendation and justify it.
(1 Mark)