GP Tools for LAS edit and outlines detection

Question

Hey, guys

Many of our LAS data (which were not processed/ classified by the data vendors) urgently need edit and clean up, in particular, detection and removal of massive ‘outlines’.  After well done in this way, we expect that the results of LAS data can well represent DSM (digital surface model). Of course, those DSM will be used to do further processing and analysis.

The question is:

In ArcGIS, any effective GP tools can be used to assist us to meet this goal?

Ideally, a GP tool that utilizes RANSAC algorithm (random sample consensus) is available. If not, any alternatives?

Please advice

larryzhang · Answer

Thanks for the link.

It looks that we need more time to explore all those GP utilities and workflows for efficiently pre-processing LAS datasets in ArcGIS, including Locate Outliers ...

Until now, ArcGIS have offered many effective GP tools and workflows to help enterprise customers to deal with 'well-processed & well-organized' LAS point cloud, including 'manage, use, analyze LAS data, even extract DEM and building roofs from LAS data'.

Hopefully, ArcGIS users will see some efforts from ESRI to help effectively pre-process LAS point cloud soon ...

GünterDörffel · Answer

In the online help for 10.5 look here for the analysis descriptions:

Geoprocessing and LAS datasets—Help | ArcGIS Desktop

larryzhang · Answer

Thanks Gunter,

Please help provide ArcGIS Documentation link that shows a way to find out outlines in LAS (QA/QC).

To get a well-processed DSM data (rather than DEM/DTM or normalized DSM) from those old & poor LAS point cloud is our major goal.

Regards