Dear List,<br><br>i am currently enjoying the flexibility of using r.in.xyz to process lidar data over native forests in Victoria, Australia.Thank you hamish for such a great tool.<br>At this stage I have 'binned' my data into 20m cells and calculated a number of metrics (including 13 vegetation height percentiles p5 p10 p20 .. p90, p95, p99) based on the z values.<br>
What I was wondering is how can I calculate the mean intensity for the associated height percentiles.<br><br>To get around this I have written a script in a proprietary stats package to create the intensity metrics. However, I would prefer to use Grass and opensource tools to do this binning<br>
<br>Any suggestions would be appreciated!!!!<br><br>My data is in the following format<br><br>x|y|ground|intensity|class|canopy_top|height<br>410774.45|5820999.93|773.3|23|10|766.0983886719|7.20161<br>410763.07|5820999.9|802.27|2|10|763.9434814453|38.3265<br>
410765.47|5820999.94|773.11|90|10|764.2877807617|8.82222<br>410758.09|5820999.95|807.99|47|10|762.8372192383|45.1528<br>410748.12|5820999.93|760.89|8|10|760.5731811523|0.316819<br>...<br>...<br>...<br><br>I suspect I should start to learn python.<br>
<br><br>regards<br><br>Andy<br>