normalize_pcl_mh: 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_mh.R
normalize_pcl_mh R Documentation
Normalize PCL data based on light saturation and attenuation
Description
normalize_pcl_mh normalizes a PCL matrix for occlusion.
Usage
normalize_pcl_mh(df, k)
Arguments
df
data frame of pcl hit density processed from
make_matrix
k
is a correction coefficent based on k = mean est. LAI/site LAI
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_mh(pcl_matrix, k = 1)
atkinsjeff/forestr documentation built on Dec. 12, 2023, 5:36 a.m.
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View source: R/normalize_pcl_mh.R
| normalize_pcl_mh | R Documentation |
Normalize PCL data based on light saturation and attenuation
Description
normalize_pcl_mh normalizes a PCL matrix for occlusion.
Usage
normalize_pcl_mh(df, k)
Arguments
df |
data frame of pcl hit density processed from
|
k |
is a correction coefficent based on k = mean est. LAI/site LAI |
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_mh(pcl_matrix, k = 1)
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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