Methods used and outcome produced to address the research questions, the numbers in the brackets indicate the dimensions of the data structure, the first two steps we took in order to understand numerical overlap of the predefined set of indices, later we used PCA to select non-arbitrary indices as cluster representatives. This set of uncorrelated indices was then checked regarding sensitivity and response to the land use type where the device was positioned through a statistical procedure that included common clustering methods and the calculation of a validation metric.