Comments on: A Complete Guide to LiDAR: Light Detection and Ranging

By: Ammar

Ammar — Sun, 15 Sep 2024 20:59:14 +0000

Great information. Any recommendations on what to read to learn more about advanced topics in Lidar and point cloud processing?

By: Andrew

Andrew — Mon, 19 Feb 2024 22:50:08 +0000

In reply to Daniel.

1. [How does LiDAR work?] I guess you mean ERROR is only about 15 cm vertically and 40 cm horizontally.
2. [4. Digital Surface Models] This figure for this section is not a DSM but part of a high-resolution satellite image. It would be better to change it.
Thanks for this great article for introducing LiDAR.

By: GISGeography

GISGeography — Sat, 03 Feb 2024 02:11:25 +0000

In reply to Daniel. You can create that with something like ArcGIS Pro. Even QGIS 3 would do the trick.

By: Daniel

Daniel — Thu, 01 Feb 2024 04:45:11 +0000

What software was the first image created with?

Thanks

By: Njeru Thomas

Njeru Thomas — Tue, 22 Nov 2022 10:33:55 +0000

Quality content

By: Chadwick Mcqueen

Chadwick Mcqueen — Mon, 24 Oct 2022 14:57:06 +0000

Very nice write-up, I keep coming to your blog because it makes a lot of sense, please keep up the good work…….

By: Claudia Mihovk

Claudia Mihovk — Mon, 20 Sep 2021 00:03:02 +0000

Good information but could you recommend a website on how to read a lidar map? I have one of my property but need to understand what I’m looking at because I have caves and need to know where they are.

By: Ubald

Ubald — Mon, 21 Dec 2020 13:53:54 +0000

Could you recommend a guide to obtain the best vertical results in the forestry area? Also, a guide to calculate the best elevation.

By: Jake

Jake — Thu, 21 May 2020 19:53:39 +0000

Larry Schwartz – these “images” are caprured using a LiDAR system mounted on a tripod. The building is scanned inside and out and the point clouds merged. This is becoming very popular for BIM applications.

By: Jake

Jake — Thu, 21 May 2020 19:51:33 +0000

Therese Reinsch – when the LiDAR system collects the data, point cloud, all the LiDAR data points are unclassified as to what they are hitting. There are automated classification routines in TerraScan, however the routines need to be developed according to each application. Remember, the point cloud is 3D – you will be able to distinguish between tress and shrub as in quantity, but if you need total canopy coverage, ask the service provider to classify the point clouds in some basic classes, like house, road, sidewalk, tree, shrub, etc…. then the data can be used by other departments.