Endeavour Drive - Drivability analysis |
Endeavour Drive - Drivability analysis |
Sep 18 2008, 11:05 AM
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#1
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Founder Group: Chairman Posts: 14433 Joined: 8-February 04 Member No.: 1 |
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. |
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Mar 23 2009, 02:35 PM
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#2
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Senior Member Group: Members Posts: 1281 Joined: 18-December 04 From: San Diego, CA Member No.: 124 |
They do look cool, and they are the right size for CD artwork as well
QUOTE Porcupine area. (Note: this is NOT a 'driving' map, colors refer only to terrain-type and have no further meaning as such). I know this probably exists in the thread earlier on, but is there a key to those colors? -------------------- Lyford Rome
"Zis is not nuts, zis is super-nuts!" Mathematician Richard Courant on viewing an Orion test |
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Mar 23 2009, 03:19 PM
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#3
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Member Group: Members Posts: 236 Joined: 5-June 08 From: Udon Thani Member No.: 4185 |
I know this probably exists in the thread earlier on, but is there a key to those colors? Nope, in this case there's no key, the colors in themselves have no meaning, they just mark area's with similar characteristics (within a certain bandwidth). What the software does is searching the dataset for as much data as possible about each pixel position (as CRISM is unfortunately not available for the complete area and THEMIS has only low res, most important are average grid-brightness and variation within a grid centered on the position). Each pixel then gets a string associated with it, which basically states all measurements relating to this pixel divided by a bandwidth factor. Once this is done for all pixels, the computer assigns random colors to all measurement-strings and marks all pixels with this string in this color. So each color marks a specific set of measurements and all positions with this color will have the same terrain characteristics, but the color in itself is meaningless. Although these images are mainly created from HiRISE data, it is remarkable how much resemblance there is with the CRISM measurements I posted earlier, which gives a bit of confidence that at least some of these layers the software seems to detect indeed do relate to 'something', however you would need a lot more data (or ground-checks) to know what chemical or geological feature is causing one specific layer to appear in the image. My software only shows there is a layer but it doesn't say much about what it is made of... (and as I already mentioned, there is probably a lot of 'garbage' in it, sun-shadows, etc). |
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