quatre_montagnes {lidaRtRee}

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://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/wikis/ABA-data-preparation

Examples

data(quatre_montagnes)
summary(quatre_montagnes)