Once the new land-cover prediction has been finished, it is time again for a qualitative and quantitative evaluation and eventually for some improvement steps.
After completing this worksheet you should be able to design and perform a workflow for enhancing the quality of a land-cover prediction.
As always, please add these entries to your today's learning log in the beginning of your Rmd file you will use to push to your GitHub classroom.
As today's special, please complete the following assignment:
Please evaluate the quality of the land-cover prediction and - depending on potentially identified deficits - come up with a workflow which might lead to a improvement of the classification map.
Please implement the improvement in an R script or use any kind of GIS software for this
Please include one sentence summarizing the initial and final classification quality, a bullet point list describing your intended workflow and a screenshot of (a detail of) the modified classification into an Rmd script, update (i.e. commit) it and publish (i.e. push) it to the GitHub classroom.