All,
Nothing that far along. Did a couple of proofs of concept so far,
I've done a couple of presentations on the Visualizer approach. We
tried a couple of different things, x3Dom, allover'js
You can see some of them here ( some of the pages take a while to
load the data in the background, be patient):
https://hub.sharedgeo.org/apps/x3d/ (these will generally need a
webGL enabled browser)
These are purely intended as a test of just how much data could easily
be squished into the browser before if blows, so you might experience
some failures. Ideally the data coming into these would be segmented
via a SQL call to PostGIS Pointcloud sources.
The last two in the list are using some point clouds cut from our
recent data collect at 8pt per sq meter for the City (6 billion points
in all), these are using about 300k points each for example.
Bobb
*From:*[email protected]
[mailto:[email protected]] *On Behalf Of *Rémi
Cura
*Sent:* Wednesday, December 11, 2013 10:08 AM
*To:* PostGIS Users Discussion
*Subject:* Re: [postgis-users] Old question resurfacing
I would be very interested to know any attempt to visualize 3D point
cloud from data base !
We did the same but our solution is far from perfect.
Bob, is you rporject public/open source, have you any paper/doc about it ?
Cheers,
Rémi-C
2013/12/11 Basques, Bob (CI-StPaul) <[email protected]
<mailto:[email protected]>>
Hmm,
I'm working with the Minneapolis International Airport (MSP) on a
project, any chance that data is open/accessible enough to play with?
This could tie directly into a project I'm already working on.
Thanks
Bobb
*From:*[email protected]
<mailto:[email protected]>
[mailto:[email protected]
<mailto:[email protected]>] *On Behalf Of *Gerry
Creager - NOAA Affiliate
*Sent:* Tuesday, December 10, 2013 2:14 PM
*To:* PostGIS Users Discussion
*Subject:* Re: [postgis-users] Old question resurfacing
Bob, all:
I agree. I'll have to spend some time with pointcloud but it DOES look
very promising.
Another application? Lidar. Pointed at the sky, not at the ground (we
use 'em to determine cloud layers [ceiling] and sky cover at airports
for aviation data...).
Thanks, all!
gerry
On Tue, Dec 10, 2013 at 1:49 PM, Basques, Bob (CI-StPaul)
<[email protected] <mailto:[email protected]>> wrote:
Gerry,
Remi's idea about using a point cloud may be spot on for your use. It
allows you to set a point cloud down to a revolution if need be, which
seems like what you are looking for.. If the data becomes too massive
for insertion into DB at real-time speeds, then you could also
separate this revolution into separate DB's as well, you could
separate a whole number of ways, by elevation, or quadrant, or . . .
I'm very interested in visualization possibilities with something like
this being available in a database. We're doing some similar db 3d
visualization stuff on some rather dense point clouds. Your data once
available could use the same visualizer.
Bobb
*From:*[email protected]
<mailto:[email protected]>
[mailto:[email protected]
<mailto:[email protected]>] *On Behalf Of *Gerry
Creager - NOAA Affiliate
*Sent:* Tuesday, December 10, 2013 1:41 PM
*To:* PostGIS Users Discussion
*Subject:* Re: [postgis-users] Old question resurfacing
Bob
At least preliminarily, I can post-process, so speed of db adds isn't
too troubling. Maintaining accurate representation of the bin-volume
data is, however, important.
Typical rotation is 1-3 RPM, and a complete volume scan takes ~11 min
in clear air (where you best see biologicals if so inclined) or ~5 min
in one of the storm data collection modes. These are for common
WSR88D, stationary radars. SMARTR's and others we have here that are
mobile present a whole host of other options/data eval and speed problems.
Current radar data are nominally considered to have a horizontal
resolution of ~250 m, ignoring distortion or keyholing due to
range.Typically 16 elevations are scanned, once or or twice in storm
mode and a few less elevations in clear air mode.
Now, the interesting thing that's on the horizon is Phased Array Radar.
When that happens, more data, more resolution, and faster updates.
gerry
On Tue, Dec 10, 2013 at 11:05 AM, Basques, Bob (CI-StPaul)
<[email protected] <mailto:[email protected]>> wrote:
Gerry,
Seems like the biggest hangup would be in adding the data to the DB
fast enough. How many points, per revolution, and what is the
frequency of a revolution (stationary Radar, correct, although as I
think about it, it could be mobile if needed, just need to add in the
radar location to each record)?
Bobb
*From:*[email protected]
<mailto:[email protected]>
[mailto:[email protected]
<mailto:[email protected]>] *On Behalf Of *Gerry
Creager - NOAA Affiliate
*Sent:* Tuesday, December 10, 2013 10:52 AM
*To:* PostGIS Users Discussion
*Subject:* [postgis-users] Old question resurfacing
I asked this years ago, and I think Paul was less than pleased with me
(:-), but:
Has anyone, in the ensuing years looked at encoding radar data into a
postGIS database? We've a little idea that might benefit one project,
and getting the radar data into a good geospatial format would be
beneficial.The data, of coure, would start out as radial-distance and
intensity from the radar site, although we could preprocess it by gridding.
Thanks, Gerry
--
Gerry Creager
NSSL/CIMMS
405.325.6371 <tel:405.325.6371>
++++++++++++++++++++++
"Big whorls have little whorls,
That feed on their velocity;
And little whorls have lesser whorls,
And so on to viscosity."
Lewis Fry Richardson (1881-1953)
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--
Gerry Creager
NSSL/CIMMS
405.325.6371 <tel:405.325.6371>
++++++++++++++++++++++
"Big whorls have little whorls,
That feed on their velocity;
And little whorls have lesser whorls,
And so on to viscosity."
Lewis Fry Richardson (1881-1953)
_______________________________________________
postgis-users mailing list
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--
Gerry Creager
NSSL/CIMMS
405.325.6371
++++++++++++++++++++++
"Big whorls have little whorls,
That feed on their velocity;
And little whorls have lesser whorls,
And so on to viscosity."
Lewis Fry Richardson (1881-1953)
_______________________________________________
postgis-users mailing list
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_______________________________________________
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