I am trying to run a land use classification with QGIS on LANDSAT8 imagery to classify the various land uses within an area of northern Vietnam.
I want to distinguish between primary forest, secondary forest, sub canopy cultivation, monoculture crops, built up areas and riparian habitat.
I also want to classify the imagery for canopy cover (%).
I have recorded over 100 ground truth points in situ for land use type and canopy cover percentage but I have no knowledge on how to import this information into QGIS so that it can train my classification in order to create spectral signatures.
The only way I can think at the moment would be to import the UTMs with IDs then zoom to each one and create a spectral signature manually, but this will take forever.
I fear it may also create some error.
I am new to QGIS.