quatre_montagnes: Field plot inventory in the Quatre Montagnes area (France)

In lidaRtRee: Forest Analysis with Airborne Laser Scanning (LiDAR) Data

Field plot inventory in the Quatre Montagnes area (France)

Description

Dataset of forest parameters measured in the field on 96 circular plots of 15 m radius. Metrics derived from airborne laser scanning (ALS) point clouds have also been extracted and calculated for those plots.

Usage

data(quatre_montagnes)

Format

A data.frame with 76 columns:

1. plotId id of field plot

2. X easting coordinate (epsg: 2154)

3. Y northing coordinate (epsg: 2154)

4. clusterId id of cluster, plots were inventoried in groups of 4

5. G_m2_ha basal area in m2 per ha

6. N_ha number of trees per ha

7. D_mean_cm mean tree diameter at breast height (1.3 m) in cm

8. stratum forest ownership (public or private)

9. [, 9:60] point cloud metrics computed from ALS, see aba_metrics

10. [, 61:73] metrics derived from tree segmentation in ALS data, see std_tree_metrics

11. [, 74:76] terrain statistics, see terrain_points_metrics

References

Monnet, J.-M. 2021. Tutorial on modeling forest parameters with ALS data. ABA data preparation https://lidar.pages.mia.inra.fr/lidaRtRee/articles/area-based.1.data.preparation.html

Examples

data(quatre_montagnes)
summary(quatre_montagnes)

lidaRtRee documentation built on April 3, 2025, 10:29 p.m.