The objective of this study is to use aerial photography acquired by a multi-rotor UAV to generate ultra-high resolution DSMs of Antarctic moss beds. The study builds onto work carried outby Turner et al. (2012) by applying an improved SfM technique for DSM generation and developing a Monte Carlo simulation frame-work for snowmelt modelling. The workflow of DSM creation is described, and the accuracy of the DSM and orthophoto mosaic are assessed. Finally, a terrain modelling technique based on the DSMis used to derive a proxy for water availability. The overall aim is to model the spatial distribution of water availability from snowmelt and relate it to physiological field measurements of moss health and water content.