[postgis-users] Old question resurfacing
Basques, Bob (CI-StPaul)
bob.basques at ci.stpaul.mn.us
Wed Dec 11 08:44:33 PST 2013
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: postgis-users-bounces at lists.osgeo.org [mailto:postgis-users-bounces at lists.osgeo.org] 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) <bob.basques at ci.stpaul.mn.us<mailto:bob.basques at ci.stpaul.mn.us>>
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: postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org> [mailto:postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org>] 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) <bob.basques at ci.stpaul.mn.us<mailto:bob.basques at ci.stpaul.mn.us>> 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: postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org> [mailto:postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org>] 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) <bob.basques at ci.stpaul.mn.us<mailto:bob.basques at ci.stpaul.mn.us>> 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: postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org> [mailto:postgis-users-bounces at lists.osgeo.org<mailto:postgis-users-bounces at lists.osgeo.org>] 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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