normalize_pcl: Normalize PCL data based on light saturation and attenuation
In atkinsjeff/forestr: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
View source: R/normalize_pcl.R
normalize_pcl R Documentation
Normalize PCL data based on light saturation and attenuation
Description
normalize_pcl normalizes a PCL matrix for occlusion.
Usage
normalize_pcl(df)
Arguments
df
data frame of pcl hit density processed from
make_matrix
Details
This function corrects saturated columns of LiDAR data
for occlusion based on assumptions from the Beer-Lambert Law.
Value
a data frame of PCL hit density corrected for
light saturation and attentuation based on Beer's Law
Examples
pcl_norm <- normalize_pcl(pcl_matrix)
atkinsjeff/forestr documentation built on Dec. 12, 2023, 5:36 a.m.
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View source: R/normalize_pcl.R
| normalize_pcl | R Documentation |
Normalize PCL data based on light saturation and attenuation
Description
normalize_pcl normalizes a PCL matrix for occlusion.
Usage
normalize_pcl(df)
Arguments
df |
data frame of pcl hit density processed from
|
Details
This function corrects saturated columns of LiDAR data for occlusion based on assumptions from the Beer-Lambert Law.
Value
a data frame of PCL hit density corrected for light saturation and attentuation based on Beer's Law
Examples
pcl_norm <- normalize_pcl(pcl_matrix)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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