Dataset of tree inventory and canopy structure in poplar plantations in Northern Italy

The repository stores data collected in 51 square (50 x 50m) 0.25 ha plots representative of poplar plantations in Lombardy Region (Northern Italy), which were used to calibrate optical informations derived from unmanned aerial vehicle (UAV) and satellite (Sentinel-2) sensors. In each plot, the diameter at breast height (D) was measured using a caliper. Tree height (H), stem volume (Vst) and crown volume (Vcr) were derived from D using allometric equations developed in an independent study (Chianucci et al. 2020: https://doi.org/10.1093/forsci/fxaa021). Additional canopy attributes were derived in each plot from 12-20 optical images obtained using digital cover photography (DCP), following the procedure described by Chianucci 2020 ( https://doi.org/10.1139/cjfr-2019-0055). The raw datasets consist of 3312 records (trees) associated to inventory measurements and 824 records (images) associated to optical canopy measurements. An R code was also provided to calculate plot-level attributes from raw datasets.

本数据集仓库存储了采集自意大利北部伦巴第大区51块代表性杨树人工林样地的实测数据，每块样地面积为50×50米（0.25公顷）。该数据集用于校正由无人机（unmanned aerial vehicle, UAV）和卫星（Sentinel-2）传感器获取的光学信息。每块样地内均采用游标卡尺测定了树木的胸径（diameter at breast height, D）。树高（tree height, H）、树干材积（stem volume, Vst）与树冠体积（crown volume, Vcr）则通过胸径（D），结合一项独立研究中开发的异速生长方程计算得到（Chianucci等，2020：https://doi.org/10.1093/forsci/fxaa021）。此外，每块样地的其余冠层属性均通过采用数字覆盖摄影（digital cover photography, DCP）获取的12至20幅光学影像，依照Chianucci 2020年提出的方法计算得到（https://doi.org/10.1139/cjfr-2019-0055）。原始数据集包含3312条林木清查实测记录（对应单木）以及824条冠层光学测量记录（对应影像）。本仓库同时附带了一段R语言代码，用于从原始数据集计算样地尺度的各项属性。