2.4 Field data collection for parameterization of the classifier and accuracy assessment
Field data, which was later utilized for training and accuracy assessment, was collected following several steps. Field campaigns were conducted and information about land-cover types was recorded with a non-differential GPS during May and August 2016. Notes were also taken on land-cover and land-use types. For a better interpretation of the results, photos were taken in the field as well. We also interviewed the farmers about their activities to reconstruct land use by recalling memories about land use, back to 1985. Field-collected data were then used to parameterize and correct the random forest classifier, and assess the classification accuracy of produced maps. We showed satellite imagery available via Google Earth mapping services during the interviews with farmers if we were not sure about the type of LCLU.