Classifying clouds in satellite imagery using statistical learning techniques

The project involves the development of a new cloud detection algorithm for satellite imagery based on a statistical learning approach. The implementation of this algorithm will operate directly on GAs NBAR corrected Landsat archive housed at the National Computational Infrastructure (NCI) to produce a new cloud mask product that will be made available through the Australian Geoscience Data Cube v2.