Assessment1
- Group presentation
- A 10-minute group presentation “bidding” as contractors for a tender to solve an issue from policy.
- Groups will select a single city and detail how Earth observation data could be applied to or improve their local, national or metropolitan development plans in achieving global development goals (e.g. New Urban Agenda, Sustainable Development Goals or the Sendai Framework for disaster risk reduction).
- The city has a total of £500,000 to spend.
- The presentation will require no analysis to be undertaken but must be done in markdown
Group code
all students in each group are active group members, respect each other, make appropriate and valid contributions, provide timely responses to their group and do not place unnecessary pressure or expectations on each other (e.g. working unsociable hours).
Marking scheme
1. Problem definition
The research problem is globally or highly pertinent or topical to a social, environmental, political or other context and has been framed at the optimal spatial scale. There is extensive background research evaluating multiple forms of credible sources to produce a compelling and coherent framing of the research question, presented in a concise and informative manner.
2. Approach
Selected data and presented analytical methodology are able to perfectly solve the presented research question or the limitations are evidently understood and expertly expressed. The analysis is entirely appropriate to the problem. It demonstrates creativity, a comprehensive understanding of appropriate sophisticated techniques, exemplary technical proficiency and skills which are indicative of significant additional independent learning.
3. Project plan, risks and value for money
The project presents an exemplary plan. It is robust, logical, appropriate, and well informed, containing no ambiguity. It is evident how the deliverables will be useful to the city and could be incorporated into business as usual operations, this may include future areas of work or city challenges. All likely risks to the project have been identified and appropriate mitigative actions devised. Value for money in all aspects of the project is achieved, whilst producing tangible and actionable outputs.
Assessment2
- Weekly learning diary using Quarto:
- summarise, analyse and comment on the material presented each we
- not a formal piece of writing
- no specific formatting requirement (e.g. written response or flowcharts)
- Summary: summary of the content
- Applications: data / concepts / methods (or related concepts) have been applied in literature / policy or other studies
- Reflection: personal reflection on the presented content
You should not just restate what has been presented in the lectures
- What have you learnt
- How has it been used or applied in literature
- What are your thoughts on this
all students should be familar with R, RStudio, Git and GitHub.
Marking scheme
1. Content summary
A well-defined summary / introduction that expertly demonstrates clear, unambiguous and extensive comprehension of the data, methods and tools/policies*, their benefits, limitations and possible future developments.
*policies where appropriate
2. Applications of the content
Discussed applications of the taught content are systematic, extensive and evaluate several credible sources using an in- depth and thorough narrative. It seamlessly guides the reader through both how and why the methods / data/ tools have been applied whilst providing exemplary critical reflection on the approaches with reference to future literature advancements.
3. Personal reflection
An in depth and extensive personal reflection that demonstrates why the content may (or may not) be interesting, and presents an inquisitive dialogue to a wider application of the content. The skills, content, data and tools and placed within the broader discipline and it is evident how they could be used in future or may (or may not) lead to other avenues of analysis / work that could involve different datasets.
Miscellanous
Mermaid mindmap (error live demo version)
mindmap
root((Remote Sensing))
Sensors
Type of<br/>Sensors
UAV and Drones
Airplane and Helicopters
Satellites
Type of<br/>Orbits
Geostationary
Sun Synchronous
Polar
Type of<br>Resolutions
Spatial resolution
Spectral resolution
Temporal resolution
Radiometric
Type of<br/>Remote Sensing
Active Sensor
Passive Sensor
Electromagnetic<br/>Spectrum
Spectral bands
Multispectral
Hyperspectral
Image<br/>Classification
Supervised Clasiffication
Unsupervised Classification
Object based Image Analysis
Applications and Uses
Agriculture
Climate Change
Disasters
Environment
Urban