[pdal] Digitized building footprints

[Andrew Bell]

On Mon, Jun 29, 2020 at 1:20 PM Stephen V. Mather <
svm at clevelandmetroparks.com> wrote:

> Ha! Ok, my gut was right. Rasters it is.
>
> And by massive, I just mean 80k images worth of photogrammetric point
> clouds over 300km2. I know I estimated how many points that is at one
> point, but I don't recall now. 😄
>
> [image: http://sig.cmparks.net/cmp-ms-90x122.png] *Stephen V. Mather*
> GIS Manager
> (216) 635-3243 (Work)
> clevelandmetroparks.com <http://www.clemetparks.com>
>
>
>
>
> ------------------------------
> *From:* Howard Butler <howard at hobu.co>
> *Sent:* Monday, June 29, 2020 12:50 PM
> *To:* Stephen V. Mather <svm at clevelandmetroparks.com>
> *Cc:* pdal <pdal at lists.osgeo.org>
> *Subject:* Re: [pdal] Digitized building footprints
>
>
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> On Jun 29, 2020, at 10:18 AM, Stephen V. Mather <
> 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.
>
>
> Define massive ;)
>
> I think your instinct to rasterize the footprints is the right one here.
> filters.overlay is going to do point-in-polygon for every point/poly combo.
> Most are quickly thrown out, but you're going to be checking every one. A
> raster mask is going to be much quicker, and you can control the resolution
> with gdal_rasterize.
>

I don't know why you wouldn't use the overlay/range option. I don't know
any reason why this would be slow and it seems simple.

-- 
Andrew Bell
andrew.bell.ia at gmail.com
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