Servis, K. Lagain, A., Fairweather, J. and Benedix, G.K. (2022). Example of impact craters detected on a Terrain Camera image on-board of the Kaguya spacecraft. The image is 7.5m/px and ~2km wide.
Lagain, A., Servis, K., Fairweather, J. and Benedix, G.K. (2022). The surface of the Moon is seen through the crater detection algorithm. This map shows the distribution of ~250 million impact craters detected on Kaguya’s Terrain Camera images. Colours correspond to the dominance of craters by size, within blue, craters <100m in diameter, in green, craters between 100m and 150m, and in red those between 150m and 300m. Source:

Space Science and Technology Centre 

Involved organisations: 

Space Science and Technology Centre; Curtin University; CSIRO; Pawsey.



Services rendered from ASDAF:

Software development; consulting; data analysis.

Project overview:

This research will unravel the geological history of the Moon through the detection and analysis of billions of craters constellating its surface using a machine learning algorithm running on Pawsey supercomputers.

Specifically, this project aims to pre-process high-resolution imagery datasets, optimise the Crater Detection Algorithm co-developed by research engineers at CSIRO and scientists at Curtin, and post-process the data.