Due to time and space constraints, I did not actually present full results on all of the 179 HRSC tiles within the dissertation. I had intended to do some more afterwards, but at one point my external hard drive failed and I had to re-download some of the data.
|A figure from my dissertation with colourized MOLA elevation, overlaid on a Mars Orbiter Camera wide-angle mosaic images by transparency, showing the general area. Unfortunately I lost the MOC images and spent some time trying to reproject them again correctly since, and I kept getting an offset between it and the other data. Fortunately there is a version available from the USGS that has already been put into the same projection as MOLA.|
In the dissertation, I calculated the distribution of the various variables, both for the whole of the HRSC data tiles I used, and for the areas coinciding with the locations of the Souness glaciers. By comparing the two, a Bayesian classifier is derived.
The head, extent and context areas are explained in the dissertation, the head simply being a small circle around the location of the glacier head as recorded in Souness, the extent being calculated from the width, head, centre and foot recorded, and the context is the extent polygon expanded by 3 times.
I present results from two tiles which were written about in the dissertation, h0248 and h2279, but will be expanded on a little below.
update (13/06/15)I have corrected an error in the classification script that gave spuriously small values of the 'Extents' classifier function, and revised it to take the nadir image data out of the classifier, since it is scaled separately for each tile, it doesn't make a lot of sense to consider it in the context of global statistics.
h0248larger version (25m/pixel)
h2279larger version (25m/pixel)
|Again, a number of Souness glaciers are shown, which have a high classifier value but regions with high values exist that do not have any Souness catalogued objects.|