Jun 13 2008
Classified LiDAR data have been viewed
The classified LiDAR data that I hope will provide some inflated structure and tree surfaces for draping the orthophoto have been reviewed. I find the data beautifully detailed, and fascinating to see with GeoCUE Point View LE. I’m working with the UC Berkeley Geospatial Imaging and Informatics Facility UCB GIIF, also known as the Maggi “Kelly Lab” when proximal to Mulford Hall.
Right now my goal is to interpolate the first return surface in a way that I can grid and filter most appropriately to inflate buildings and trees. In principle, I should be able to use the first return LiDAR point cloud to create a NURB surface that would be expressible as an OpenSim/SL sculptie. But I’m going to take a more cautious approach and try to get the whole thing gridded in a consistent way so that I can reasonably expect to cover the entire 40-region sim with good inflated surfaces rather than the bare earth that has been a fine demonstration, but a bit flat for draping the orthophoto.
I’m going to throw out a lot of images and let them speak somewhat for how the classified (into ground, structure, low veg, med. veg, tall veg) LiDAR point clouds look.
Here’s the plain elevation image and the classified view of same
this is how the classified image looks with intensity shading. It gives a first impression like a photo
Some perspective views also help to show what information will be available for gridding. For these I’ve displayed with vertical exaggeration of 1.5X
