The following grading scheme will be used to assess your report:

• Introduction (5 marks)

  • A brief introduction to the problem.

• Methods (20 marks)

  • Describe the data and the study site.
  • Description of the analysis approach.
  • Include the Python script that you used to help document your approach the the change detection analysis.
  • Be sure to use at least two different change detection approaches.
  • Describe the approaches that you used to address the problem. For example, what pre-processing techniques (e.g. radiometric calibration), if any, did you need use (and you will need to use some, believe me!)? Did you use pre- or post-classification approaches, or perhaps a combination of both? In other words, exactly what techniques did you select?
  • Be sure to provide justifications for the approaches that you chose.

• Results – Graphics (10 marks)

  • Results of analysis (images, maps, graphs, and/or tables where relevant).

• Results – Documentation (20 marks)

  • Interpretation of results.
  • Statement of limitations of your results (i.e. because of limitations of your methodology).

• General presentation (10 marks)

  • Neat and concise reporting
  • Spelling and grammar (be sure to proofread your work)
  • Organization (report is well laid-out using appropriate sections)
  • Consistent in-text citations and reference list.

The total is 65 marks.