computing statistics of the lidar points with in specified regular grid,

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lidar...@gmail.com

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Mar 29, 2016, 3:19:43 AM3/29/16
to LAStools - efficient tools for LiDAR processing
Hi,

I have to compute statistics from (LASfile)  lidar point heights within regular grid  and export outcome of statistics valule of each grid  as an image out.

eg: Mean,St.dev,Max,Min,CV etc

I would like to know Is there any way out in LASTOOLs to carryon this task.

Regards,
LP

Martin Isenburg

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May 15, 2016, 2:07:38 PM5/15/16
to LAStools - efficient command line tools for LIDAR processing
Hello,

there are two tools dedicated to compute the kind of statistics of per pixel binned LiDAR returns that you are after: lasgrid and lascanopy.


The lasgrid tool is typically used for smaller pixel sizes (0.5 - 5 m) that are close or a small multiple of the pulse spacing. You can compute the min, max, avg, std, and range of most point attributes such as elevation, intensity, scan angle, absolute scan angle, user data, number of returns, rgb, ... and also a few "special" things such as occupancy, point_density, counters, or what the majority of classification codes are in each pixel grid cell.

The lascanopy tool can also compute more complex statistical metrics that require a certain minimum number of LiDAR returns per cell to be (statistically) meaningful and is therefore typically used for larger pixel sizes (5 - 50 m) so that there are at least 100 points or so in each cell. Then you can compute percentiles, bincentiles, kurtosis, skewness, and various density strata, as well as canopy cover and canopy density. This tool was particularly designed for the needs in forest applications but is also useful for creating rasters that help with land cover classification or habitat modelling and many other uses ...

Regards,

Martin @rapidlasso

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