Endeavour Drive - Drivability analysis Options

[djellison]

http://www.sciencefriday.com/program/archives/200809191

You can listen via NPR, or via one of the web feeds that are listed on the site, but make sure you do listen if you can.

[Geert]

Distribution of Ferric and Iron minerals in Victoria and Endeavour region.

Note the colors in themselves are meaningless, however area's with the same measured quantities of minerals (within a certain bandwidth) are given the same color.





Images are created from the average of 5 different CRISM observations, basically the software checks the quantities for ferric and iron minerals for every position, then creates a mapping giving all positions with the same measured quantities the same color.

[Juramike]

Distribution of Ferric and Iron minerals in Victoria and Endeavour region.
Note the colors in themselves are meaningless, however area's with the same measured quantities of minerals (within a certain bandwidth) are given the same color.

This is VERY cool. Would it be possible to add in the topographic data?

I think this is creating a pretty geologic map of Meridiani planum with the exposed strata having slightly different mineral components. With the topographic data added, it should be possible to create a side view of the different layers.

Here is a previous graphic based on an abstract by Sullivan et al., 2008. (post 731, this thread)

The topographic data might also explain the curviness of mineral exposures seen near Endeavour crater seen in your lower graphics.

IIRC, as we head south we are going into younger terrain. So each band southward sat above the older northern band in the layer stack.

-Mike

[Geert]

This is VERY cool. Would it be possible to add in the topographic data?

Technically it should be possible, as I mentioned before I developed a dataset with all data (CRISM, HiRISE, THEMIS, etc) in digital format linked to a lat/lon grid, so I can relate anything to anything and project it in any which way and just let the computer crunch out the results (I'm more or less writing the software as I go along).

Problem with the topographic data is that as yet I'm not very impressed with MOLA data, I know it's a wonderful tool but at the distance scales we are talking about it's not giving me very much fabric to cling to. Basically the easiest format for me would be a greyscale map-projected 'image' with brightness relating to height but it needs to be very high resolution in order to spot the correlation you're trying to find. An other option might be to simply take a number of lat/lon positions and check their heights in Google-Mars, and from that I can probably let the thing produce a graph relating height to composition...

Let's say I'll work on it ;-)

With regards to CRISM note that this is all more or less 'raw' data, as has been mentioned before CRISM data is influenced by IR-brightness but it is difficult (for me) to know how much I need to correct for this, it's really nice to see pieces fit together and I love to play with this data and see what I can get out of it, but it's not a proper scientific study ;-).