I want to retile big TLS files into quite small chunks of maximum 20 m x 20 m size. I have to normalize the point cloud, thus I need to classify the points and create a DTM for each tile. For this process, especially smaller tiles seem to cause me trouble (I guess it's hard to fit a plane in only few points). But I noticed when splitting up the data into chunks, there are quite many chunks with only little information.
ctg <- readTLSLAScatalog(path_points) opt_chunk_buffer(ctg) <- 0 opt_chunk_size(ctg) <- 20 plot(ctg, chunk=TRUE)
Can I somehow reposition the tiles so the bottom left corner of the data is also the bottom left corner of the first chunk? Or (even better) a possibility to center the tiles and the chunks so all chunks on the borders have similar sizes? I saw there is an option
opt_chunk_alignment(), but I don't understand how it works exactly. Also, I guess I could play around with the chunk size because it might help, but I want to automize the process for several LAS files.