Model Key Points - mass points point clouds
I build surfaces in civil3d that are delivered to civil engineers for design. I am a land surveyor. Sometimes I get all the data needed by survey field crew, other times I get it from remote sensing products such as LIDAR or photo-derived point clouds, and sometimes I mix it all.
I pretty much need to use point clouds and get surface models that I can PASS ON TO ENGINEERS.
That is the context. The specific question I have is that I can use Global Mapper to auto-classify cloud data to extract an estimated bare-earth. But in the end, it is too much data sometimes. I want to figure out how to 'thin' or 'decimate' this surface data to key points that essentially keep the same surface shape but remove redundant data.
Then classify the essential points to the 8- model key point class. So I can then extract smaller .las files for use.
or help me figure out other ways to get the bare earth data out of Global Mapper and into civil3d in a manner that does not blow up civil3d. Sometimes I have 15 square miles of data I need to model - cant have a massive tin on every point, and so on. I thought it would be good if Global Mapper could analyze the point cloud data and classify some that will basically result in about same shape and all of the 'ground'.
Or does Global Mapper already have a way to do this?
my data is typically delivered unclassified LIDAR, or auto-classified LIDAR (but they don't make key points ... I would need to do that myself.) Though I am generally interested in this kind of functionality for non-lidar data as well.
I have tried such things as generating 1ft contours in Global Mapper, then exporting as .dwg, then using those as 3d break lines to build a civil3d surface - and assume I roughly am getting the same surface shape. obviously at this level I am not building a surface for designing curb and gutter - but it is for large scale design.