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#1
Martin Gamache

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For any fans of terrain Modelling, Remote Sensing, and Mountain Landscapes this new book from the German Aerospace Center (those DNR folks have been busy) is very beautiful. i just got my copy yesterday and i have not been able to put it down.



Mountains From Space

#2
woneil

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For any fans of terrain Modelling, Remote Sensing, and Mountain Landscapes this new book from the German Aerospace Center (those DNR folks have been busy) is very beautiful. i just got my copy yesterday and i have not been able to put it down. 

Mountains From Space

<{POST_SNAPBACK}>


Thanks! Just ordered it. Looks as if it would make a very nice gift.
Will O'Neil
Author and amateur cartographer

http://analysis.williamdoneil.com/w.d.oneil@pobox.com

#3
Matthew Hampton

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Looks like a very nice gift...

...FOR MYSELF!!!! Ha-ha-ha

(I just ordered it too)
_
mh

co-cartographic creator of boringmaps.com


#4
Martin Gamache

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Looks like a very nice gift...

...FOR MYSELF!!!! Ha-ha-ha

<{POST_SNAPBACK}>



Exactly how I felt at the bookstore!!!

#5
franciscocartographer

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Thank you. I just placed my order today. This is a 'must have' :D
--------------------------------------
Francisco Jimenez, GISP
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#6
Matthew Hampton

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It just arrived and it's pretty cool. Tons of satellite imagery draped on elevation models. I was hoping for more cloudfree, "optically gathered" oblique images. Sort of what Pictometry is doing in urban areas. It's difficult to hide the pixels on even 10m draped images.

I found one of the coolest things in the book to be the Appendix where they list the specs for all the imageery (data source, resolution, spectral channels, etc.).

The Mt Everest scenes are the best, using 1m imagery on a 5m elevation source.

Is it just me, or does this leave you pining for even higher res stuff. Like maybe 30cm imagery on 5m elevation source. Perhaps some sort-of subpixel smoothing would get rid of the large amount of pixel noise.

The folks at the German Remote Sensing Data Center should be applauded for their great work.

This book also made me realize the great potential to get data from Maryland's GLCF.
http://glcf.umiacs.umd.edu/index.shtml

__
Matthew

co-cartographic creator of boringmaps.com





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