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.

本仓库存储了在51平方（50 x 50米）0.25公顷的样地内收集的数据，这些样地代表了意大利伦巴第地区（北部）的杨树种植园。这些样地被用于校准由无人机（UAV）和卫星（Sentinel-2）传感器获取的光学信息。
在每一块样地中，均使用卡尺测量了胸径（D）。通过独立研究（Chianucci 等人，2020年：https://doi.org/10.1093/forsci/fxaa021）开发的生长方程，从D值推导出了树高（H）、树干体积（Vst）和树冠体积（Vcr）。
此外，根据Chianucci 2020年所述的方法（https://doi.org/10.1139/cjfr-2019-0055），在每个样地中，还从12-20张使用数字覆盖摄影（DCP）获取的光学图像中推导出额外的树冠属性。
原始数据集包括3312条记录（树木）与存货测量相关联，以及824条记录（图像）与光学树冠测量相关联。此外，还提供了一个R代码，用于从原始数据集中计算样地级别的属性。