rmcc_cloud

A dataset containing a small point cloud acquired with airborne LiDAR.

datasets

Multiscale Curvature Classification of ground returns in 3-D LiDAR
point clouds, designed for forested environments. 'RMCC' is a porting to R of the
'MCC-lidar' method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.

Jean-Romain Roussel

RMCC

Airborne LiDAR Filtering Method Based on Multiscale Curvature

Evans Jeffrey S

Hudak Andrew T

Green Code LLC 

Jarno Elonen

Thomas Becker

rmcc_cloud function

A data frame with 28668 rows and 3 variables:<dl>
<dt>X</dt>
<dd>x coordinates</dd><dt>Y</dt>
<dd>y coordinates</dd><dt>Z</dt>
<dd>z coordinates</dd>
</dl>

Format

Airborne LiDAR point cloud — rmcc_cloud

A data frame with 28668 rows and 3 variables:<dl>
<dt>X</dt>
<dd>x coordinates</dd>

<dt>Y</dt>
<dd>y coordinates</dd>

<dt>Z</dt>
<dd>z coordinates</dd>


</dl>

rmcc_cloud: Airborne LiDAR point cloud

Description

Usage

Arguments

Format