Hi Sam,
Thanks for the clarification.
Sentinel 2 is at 10 m spatial resolution for the visible and NIR bands, and this is what you will get, you can't increase the resolution of the satellite imagery itself. Landsat is ~30m, so the level of details you can catch with Sentinel 2 is indeed higher (you can see objects 9 times smaller). But both levels of resolution are quite adapted for tree cover mapping and forest change detection when you want to process and analyze data automatically and there is a lot of literature on that subject. Those sources of data are free and public and this also explains why they are so widely used. Higher resolution imagery is available for earth observation but not for free, at that stage.
In any case, from your message I understand you want to analyze the change visually rather than through a machine learning process and in this case you could look at other tools provided in the OpenForis suite.
In particular, Collect Earth is a free and open-source image viewing and interpretation tool, suitable for
projects requiring information about land cover and/or land use, where users can analyze high and very high resolution satellite imagery.
You could use the newly launched online tool (still under development, available here: collect.earth) or the desktop version (fully operational, available here: http://www.openforis.org/tools/collect-earth.html).
Hope it helps.
Remi