High resolution thermal infrared (TIR) remote sensing in the urban environment for building insulation inspection requires careful consideration of atmospheric and ground-located factors on the radiometric signal, with one being the microclimatic variability within the scene. Based on the assumption of roads as pseudo invariant objects, the TURN algorithm represents a tool to interpolate local temperature deviation within a scene and to normalize TIR-imagery in order to obtain a microclimate-free result. In this work we conduct adjustments, extensions and simplifications to the algorithm when applying it to a Middle- European urban environment. Based on research conducted in Aalen (Germany), we demonstrate our process of applying TURN for TIR-image normalization at high geometric resolutions and a scene composed of multiple adjacent flight-lines. Additionally, radiometric corrections to the TIR-image were applied prior to its processing by the algorithm. The corrections allow a validation of the TURN results by comparing them to ground-based reference data acquired during the flight with convincing agreement.