This PhD research proposes a new taxonomy of green infrastructure typologies (GITs) to classify urban landscapes into 34 standard classes. Very high-resolution thermal, spectral imagery and LiDAR data were employed to examine the relationships between functional, structural and configurational descriptors of GI and the diurnal and nocturnal thermal patterns across the Sydney metropolitan area. Remote sensing data were collected by aircraft in February 2013 (summer) and August 2012 (winter) in calm, clear and dry conditions. This study demonstrates the applicability of the proposed methodological framework and classification scheme in urban climatology by analysing the inter- and intra-variability of land surface temperatures (LSTs) among typologies.