I`m working on land cover change detection project of Kyiv province in Ukraine using Landsat data and ancillary information. I want to find change in Land Cover from 1990 to 2014 of Kyiv province using Decision Tree approach in ENVI.
I have already done radiometric correction, atmospheric correction and apply cloud mask to whole Landsat`s scenes, and now I have question and request.
Do I need to do mosaicking before classification or mosaicking classified image ?
Does anybody have some decision rules for splitting pixels for appropriate land cover classes using Landsat data, DEM, VI?