Category: 3D

3D, LiDAR, Other, PDAL, pointcloud

Taking Slices from LiDAR data: Part III

forest_structure Borrowed from: http://irwantoshut.com Continuing my series on slicing LiDAR data in order to analyze a forest, one of the objectives of the current project is to understand the habitats that particular species of birds prefer. This will be accomplished using field info from breeding bird surveys combined with LiDAR data of forest structure to help predict what habitats are necessary for particular species of … Continue reading Taking Slices from LiDAR data: Part III

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3D, Other, PDAL

Taking Slices from LiDAR data: Part II

Ok, with a little help from Bradley Chambers on the PDAL mailing list, we are back in business. If we want to filter our newly calculated heights into a new PDAL output, we can do that easily, say all points 100-500 above ground level: A little sanity check to see if we are getting appropriate values: Ok, now I want to view this. I could convert … Continue reading Taking Slices from LiDAR data: Part II

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3D, LiDAR, Other, PDAL

Taking slices from LiDAR data

Welp, my BASH skills could use some honing, but I’m just working on quick-and-dirty stuff for this series. PDAL as a utility is pretty interesting, so we’ll focus our learnings on PDAL. (Prior posts start here). I may have a build tutorial written for getting through the critical (as contrasted with minimal) parts of a PDAL build. I’m getting tired of running everything through docker. … Continue reading Taking slices from LiDAR data

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3D, Analysis, parallel, PDAL, pointcloud

parallel processing in PDAL

“Frankfurt Airport tunnel” by Peter Isotalo – Own work. Licensed under CC BY-SA 3.0 via Commons. In my ongoing quest to process all the LiDAR data for Pennsylvania and Ohio into one gigantic usable dataset, I finally had to break down and learn how to do parallel processing in BASH. Yes, I still need to jump on the Python band wagon (the wagon is even … Continue reading parallel processing in PDAL

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3D, Docker, PDAL, pointcloud

wget for downloading boatloads of data

My current project to create a complete dataset of airborne LiDAR data for Ohio and Pennsylvania has been teaching me some simple, albeit really powerful tricks. We’ll just discuss one today — recursive use of wget. This allows us to download entire trees of web sites to mirror, or in our case download all the data. Additionally, wget works on ftp trees as well, with … Continue reading wget for downloading boatloads of data

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3D, Docker, Other, PDAL

PDAL and point cloud height

PDAL now has the capacity to calculate heights from your point cloud data. With pre-classified LiDAR data, this means you can do this pretty easily: A problem you might have is you may not have all the wonderful PDAL goodness built and installed. So you might get something like this: An easy way around this is to let docker do all the work. Once the … Continue reading PDAL and point cloud height

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3D, Database, FLANN, pointcloud, PostGIS, PostgreSQL, SQL

Point Clouds – the (re)start of a journey

If you have followed this blog for a while, you will notice a continual returning to and refinement of ideas and topics. That’s how the blog started, and this role it has served, as a touch stone in my exploration of topics is critical to how I use it. I hope it is useful to you too, as a reader. So, let’s talk about point … Continue reading Point Clouds – the (re)start of a journey

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3D, OpenDroneMap

OpenDroneMap — the future that awaits (part 삼)

Two posts precede this one, ODM — the future that awaits, and ODM — the future that awaits (part 이) Ben Discoe has a good point on the first post, specifically: As I see it, the biggest gap is not in smoother uploading or cloud processing in the cloud. The biggest gap is Ground Control Points. Until there’s a way to capture those accurately at a … Continue reading OpenDroneMap — the future that awaits (part 삼)

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3D, OpenDroneMap, OpenDroneMap

OpenDroneMap — the future that awaits (part 이)

In my previous post, ODM — the future that awaits, I start to chart out OpenDroneMap beyond the toolchain. Here’s a bit more, in outline form. More narrative and breakdown to come. (this is the gist) Objectives: Take OpenDroneMap from simple toolchain to an online processing tool + open aerial dataset. This would be distinct from and complementary to OpenAerialMap: Explicitly engage and provide a … Continue reading OpenDroneMap — the future that awaits (part 이)

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