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Commit f914a03

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author
Médéric Ribreux
committedJun 2, 2016
[Processing] [Grass7] Add r.in.lidar algorithm (you have to use the same CRS than input file)
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r.in.lidar
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Creates a raster map from LAS LiDAR points using univariate statistics.
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Raster (r.*)
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ParameterFile|input|LAS input file|False|False
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ParameterSelection|method|Statistic to use for raster values|n;min;max;range;sum;mean;stddev;variance;coeff_var;median;percentile;skewness;trimmean|5
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ParameterSelection|type|Storage type for resultant raster map|CELL;FCELL;DCELL|1
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ParameterString|zrange|Filter range for z data (min, max)|None|False|True
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ParameterNumber|zscale|Scale to apply to z data|0.0|None|1.0|True
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ParameterNumber|percent|Percent of map to keep in memory|1|100|100|True
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ParameterString|pth|pth percentile of the values (between 1 and 100)|None|False|True
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ParameterString|trim|Discard <trim> percent of the smallest and <trim> percent of the largest observations (0-50)|None|False|True
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ParameterString|resolution|Output raster resolution|None|False|True
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ParameterString|return_filter|Only import points of selected return type Options: first, last, mid|None|False|True
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ParameterString|class_filter|Only import points of selected class(es) (comma separated integers)|None|False|True
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*ParameterBoolean|-i|Import intensity values rather than z values|False
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*ParameterBoolean|-e|Extend region extents based on new dataset|True
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OutputRaster|output|Lidar Raster

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