Abstract: There is liberal evidence of the cooling effects of Green Infrastructure (GI) that has been expansively documented in the narrative. Conversely the study of the thermal profiles of different GI typologies requires the categorization of urban sites for a meaningful comparison of results, since, detailed spatial and physical characteristics produce distinct microclimates. In this study, the Local Climate Zones (LCZ), a scheme of thermally relatively homogeneous urban structures proposed by Stewart and Oke was used for mapping and classifying the urban morphology of a study area in Sydney, Australia. A GIS-based workflow for an automated classification based on airborne remote sensing data is presented. The datasets employed include high resolution hyper spectral imagery, LiDAR (Light Detection and Ranging) and cadastral information. Future stages of this research include coupling this method with a newly developed GI typology for a more widespread analysis of the cool effects of GI by taking into account the morphological disparities of LCZ.