[pdal] Digitized building footprints

[Stephen V. Mather]

Back to Howard’s question about the deinitition of massive: we’re looking at something north of 15 billion points.

More as I dive into testing this week.

Cheers,
Best,
Steve

On Jul 2, 2020, at 06:09, Stephen V. Mather <svm at clevelandmetroparks.com> wrote:


Vegetation definitely shows up as a little spiked ring around the edges of where the buildings sit. I tend to buffer the buildings marginally anyway, and the remaining vegetation shows up as an unusually shaped spike that then the morphological filter addresses pretty well. We will see how it fares with CSF.

(now sent with the correct email address to access the list)

[http://sig.cmparks.net/cmp-ms-90x122.png] Stephen V. Mather
GIS Manager
(216) 635-3243 (Work)
clevelandmetroparks.com<http://www.clemetparks.com>



________________________________
From: Luigi Pirelli <luipir at gmail.com>
Sent: Thursday, July 2, 2020 2:33 AM
To: Stephen V. Mather <svm at clevelandmetroparks.com>
Cc: pdal <pdal at lists.osgeo.org>
Subject: Re: [pdal] Digitized building footprints


WARNING: This email originated outside of Cleveland Metroparks. DO NOT CLICK links or attachments unless you recognize the sender and know the content is safe.

hmmmm... did you check difference running MF with or without buildings? due to closing/opening process of the algorithm, the nearest points to building can be affected. In case of building, these points can be vegetations, especially in dry area with high thermal mass buildings (soil, mud, rock); vegetation grow better near this places where the water stress is reduced [1]

Luigi Pirelli

[1] https://www.amazon.com/dp/B07SXR66YG/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1

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On Mon, 29 Jun 2020 at 19:16, Stephen V. Mather <svm at clevelandmetroparks.com<mailto:svm at clevelandmetroparks.com>> wrote:
Hi Andrew,

The goal is to use the digitized footprints to filter the point cloud of the known buildings. With the buildings removed, I plan to then feed this in to SMRF to remove the vegetation points as best as possible. Something similar to this:
https://smathermather.com/2016/10/15/finding-peace-finding-the-grounddrone-flights-for-hydrologic-modeling/

Thanks,
Best,
Steve



[http://sig.cmparks.net/cmp-ms-90x122.png] Stephen V. Mather
GIS Manager
(216) 635-3243 (Work)
clevelandmetroparks.com<http://www.clemetparks.com>



________________________________
From: Andrew Bell <andrew.bell.ia at gmail.com<mailto:andrew.bell.ia at gmail.com>>
Sent: Monday, June 29, 2020 12:43 PM
To: Stephen V. Mather <svm at clevelandmetroparks.com<mailto:svm at clevelandmetroparks.com>>
Cc: pdal <pdal at lists.osgeo.org<mailto:pdal at lists.osgeo.org>>
Subject: Re: [pdal] Digitized building footprints


WARNING: This email originated outside of Cleveland Metroparks. DO NOT CLICK links or attachments unless you recognize the sender and know the content is safe.


On Mon, Jun 29, 2020 at 11:25 AM Stephen V. Mather <svm at clevelandmetroparks.com<mailto:svm at clevelandmetroparks.com>> wrote:
Hi All,

I am processing a dataset for which I have a digitized building footprints. It'd be even cooler if I had vegetation, but beggers != choosers.

In principle, I could use filters.overlay, but this is a massive dataset, so I am curious if it makes more sense to rasterize, tile things up, and use filters.colorization.

Happy to test and report back on what is fastest, but in case someone has a hunch, or an alternative recommended approach, I thought I would ask.

It's not clear to me what you're trying to do. Maybe you could state your goal?

--
Andrew Bell
andrew.bell.ia at gmail.com<mailto:andrew.bell.ia at gmail.com>
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