Posted by Emily Lakdawalla on 2009/10/28 03:51 CDT
The LROC team posted today a new image of the Apollo 17 landing site, captured after Lunar Reconnaissance Orbiter had gotten in to its 50-kilometer mapping orbit, so this is much more detailed than the previous view.
Posted by Emily Lakdawalla on 2009/10/28 03:30 CDT
These Mars Reconnaissance Orbiter HiRISE images of the defunct Phoenix lander in the early dawn light of northern spring have been out for some time, but no one had accomplished the difficult task of locating the Phoenix hardware in them until this week.
Posted by Emily Lakdawalla on 2009/10/28 01:53 CDT
Mars Reconnaissance Orbiter has been in safe mode for nine weeks, since August 26, the date of the fourth in a series of safing events.
Posted by Emily Lakdawalla on 2009/10/27 04:42 CDT
I am toying with the idea of running a series of classes via Ustream on the basics of space image processing.
Posted by Emily Lakdawalla on 2009/10/27 01:42 CDT
As is probably obvious by now, I love playing with spacecraft image data. I am always looking for excuses to dive into space image archives to unearth images of stuff in space that haven't really been seen by very many people before.
Posted by Emily Lakdawalla on 2009/10/26 01:51 CDT
The 126th Space Carnival is live over at Jason Perry's always-excellent (if rather narrowly focused) Io blog The Gish Bar Times.
Posted by Emily Lakdawalla on 2009/10/23 12:31 CDT
The Japanese space agency's science missions have an abundance of names. They start out with a programmatic name, like MUSES-A, PLANET-A, etc. -- which might be like calling NEAR "Discovery-A" and Mars Pathfinder "Discovery-B" and so on.
Posted by Emily Lakdawalla on 2009/10/22 02:44 CDT
We are preparing to have a brand new online store with new and different merchandise; to that end, we are clearing out EVERY LAST BIT of our old store inventory.
Posted by Emily Lakdawalla on 2009/10/19 03:39 CDT
So many goodies on the Cassini raw images website lately! I am especially excited when Cassini takes photos through red, green, and blue filters so that it's possible to create views that look roughly like what you'd see with your own eyes.