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The assessment is designed to: ● Provide hands-on experience in designing and implementing a remote sensing project. ● Allow you to explore in a formal manner, an application of remote sensing that interests you. ● Provide you with experience in writing a research paper, with a focus on following the conventions of a journal article with respect to: o Structure o Language o References and citations o Figures & Tables You should choose the project based on the feasibility of carrying out the work in the given timescale – remember this is not a dissertation project! Write-up instructions Write a research paper based on the research questions and methodology that you have decided upon, citing peer reviewed literature where relevant (i.e. not websites!). Include images, charts and tables depicting and quantifying the temporal/spatial trends, and any other images that you think are relevant. I would like to see at least one satellite image of the area for context! Your research paper should be structured as a journal style research paper e.g. in the following way (you do not need an abstract): 1. Introduction – Should include (i) an introduction to the topic area which draws on published literature to help state the importance/relevance of the work and any gaps in the knowledge that it may contribute to filling, (ii) study location (although this can be moved to the methodology if it’s more appropriate) and justification for this location (iii) clearly state the overall aim and specific research objectives or questions, which the project aims to address. It’s often useful to also provide a few lines which outline “how” you plan to achieve those objectives or answer those questions i.e. what methodological approach. Note: You should select a title for your paper, which represents what your study is about. 2. Methodology – You should explain your entire methodology, including justifications for choices made, where appropriate. Avoid writing in the first person e.g. “I did x”.. You should include information pertaining to the data that you used and how and why the data were analysed in a particular way. It’s usually advisable to complement any text with flow charts, tables and/or diagrams. Flowcharts should show the flow of data between steps including decisions and feedback loops (e.g. iterations, where relevant), how data were combined etc. and not just list the steps in a linear fashion – that is just a list! You should also clearly state if/how you analysed the data outputs, including any statistical methods used, clearly stating what their purpose is – try to link specific sets of analyses with your specific research questions. Your method should be sufficiently detailed so that it is reproducible, regardless of the software/platform used. 3. Results – This section should include your results. Do not just paste the images or figures into this section. The results section should include text highlighting interesting features that will be drawn upon in the discussion section. Always try to place the text that discusses the figure before the figure is displayed. Please see any research journal article for advice on how to do this if you are not sure. All figures and tables need to include a figure or table number and a full caption explaining what the figure shows. All figures need to be referred to from the text. Figure captions should be placed below the figure and table captions above the table. Think about how to create figures that are “reader friendly”. Think about their position in the text (usually placing figures after the text that refers to them is better than before), axis labels, legends and text size – they must be legible! 4. Discussion – Here is where you will “discuss” and explain what your results show and put your findings in context to other literature on the subject area. You may also want to discuss possible “causes” of changes observed, even if you don’t have a definitive answer! Use the literature to back up your key points/observations in this section. 4. Conclusion and further work – Summarise your main findings in relation to your research questions/objectives. Are there any improvements that could be made to your methodology or any alternative methods/approaches which you think might be enhance the study going forward i.e. What alternative or additional data could you use and what methods/approaches could you try and why? 5. References – A complete and correctly formatted reference list 6. Link to you GEE code ” Data based on the GEE code you create ” Advice! Helpful steps: 1. Think of an area(s) which is (are) likely to have experienced observable land cover change within the lifetime of a sensor of your choice. Datasets from Landsat or MODIS are the most commonly used at the moment. 2. Generate an overall aim and a series of research questions (not methodological steps!) for your project. You will need to pose the work as a valid research question (s). You can construct your research question(s) as you see fit as long as they relate to quantitative land cover change. Looking at the literature will help you to decide on a location(s) and justify the research question(s) that you develop. 3. Undertake the analysis using the approach of your choice. Do not just create land cover classification maps for discrete points in time; unless they are used to “supplement” your main methodology. You do not need to use “all” tools and methods that we have covered. Part of the assessment is to show that you are able to select an “appropriate” methodology so remember to justify your methodology and choices made (based on the published scientific literature) in the methods section. 4. Remember to try and both visualise and quantify how the environment has changed over time within your defined area(s) of interest. A good way to determine “how” to present your data is by reading journal articles which present time-series results using your chosen method. You will receive extra credit for more challenging analysis, but the execution and interpretation must also be correct.
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