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DATE 2017-04-01

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MESSAGE
DATE 2017-04-13
FROM Dann Pigdon
SUBJECT Re: [Learn] [dinosaur] Main goals in future dinosaur paleontology
From learn-bounces-at-nylxs.com Thu Apr 13 09:27:55 2017
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Subject: Re: [Learn] [dinosaur] Main goals in future dinosaur paleontology
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On Thu, Apr 13th, 2017 at 1:28 PM, "Yazbeck, Thomas Michael" wrote:

> What do you mean by 'scanning tech'? You mean like CAT scans? Because that
> has already been providing us reams of data, for sure.


As scanning resolution gets finer, digital data will get a lot bigger. Synchrotron X-ray imaging yields
much higher resolutions than CT scans, for instance, and as imaging technology allows for larger and
larger specimens to be scanned, the size of the resulting digital data will increase dramatically.
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.auntminnie.com_index.aspx-3Fsec-3Dser-26sub-3Ddef-26pag-3Ddis-26ItemID-3D96554&d=DwIDAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=Ry_mO4IFaUmGof_Yl9MyZgecRCKHn5g4z1CYJgFW9SI&m=eLvqRDuAyzRe4kaiscgI0NYCU6XNj5k36YOCA_k2UTc&s=sB2mHxTHc8P0L74OlIcoVdVX70nrErs-XzkHTc0b0oI&e=

Not to mention other scanning technologies, like using LiDAR to map trackways. With drone-mounted
rigs becoming possible in recent years (and becoming cheap enough for just about anyone to use), larger
and larger areas will be scanned at increasingly higher resolutions.
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.gisresources.com_mapping-2Daustralians-2Ddinosaurs-2Dlandscape-2Dusing-2Dlidar-2Dand-2Ddrones&d=DwIDAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=Ry_mO4IFaUmGof_Yl9MyZgecRCKHn5g4z1CYJgFW9SI&m=eLvqRDuAyzRe4kaiscgI0NYCU6XNj5k36YOCA_k2UTc&s=4oFJa7w4lnC58K3hsZdE1hK2jxGXz8WmZEZAfGv22XQ&e=

In the past, many museums have collected physical specimens faster than they can be prepared and
studied, resulting in years of backlog material gathering dust. As gathering large amounts of digital data
becomes cheaper and easier we might end up with the digital version of that scenario, where digital data
is gathered faster than it can be processed by human operators. Automated data mining algorithms might
become necessary to keep up.

--
_____________________________________________________________

Dann Pigdon
GIS Officer
Melbourne, Australia
_____________________________________________________________
_______________________________________________
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