A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Recent Releases of lasR

lasR - v0.3.0

lasR 0.3.0

  • Change: processor() and reader() are deprecated and are replaced by exec() and reader_las(). This intends to provide a more consistent and natural way to separate the pipeline. i.e the stages and the global processing options i.e. the buffer, the chunking, the progress bar. For example the following now respects the LAScatalog processing options and this was not possible with the previous syntax.
    ctg = lidR::readLAScatalog()
    pipeline = reader_las() + rasterize(...)
    exec(pipeline, on = ctg)
    
  • New: the processor is now able to process by chunk like lidR
    pipeline = reader_las() + rasterize(...)
    exec(pipeline, on = file, chunk = 500)
    
  • New: stage delete_points() to remove some points in the pipeline.
  • New: it is now possible to write the following:
    dtm = dtm()
    pipeline <- read + dtm + transform_with(dtm[[2]])
    
  • New: it is not possible to omit the reader stage. It automatically adds a default reader
    pipeline = rasterize(...)
    exec(pipeline, on = ctg)
    
  • New: triangulation is 4x faster and uses half the memory.
  • Fix: summarize(), rasterize() and write_las() no longer process withheld points in streaming mode.

Biosphere - Forest Remote Sensing - C++
Published by Jean-Romain about 1 year ago