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自意大利北部伦巴第大区51个典型杨树人工林样地的实测数据，每个样地面积为50×50米（0.25公顷）。上述样地被用于校准由无人机（Unmanned Aerial Vehicle, UAV）和Sentinel-2卫星传感器获取的光学遥感信息。 每块样地内均采用卡尺测定了林木的胸径（Diameter at Breast Height, D）；林木树高（H）、树干材积（Vst）与冠幅体积（Vcr）则基于胸径数据，通过一项独立研究（Chianucci等，2020：https://doi.org/10.1093/forsci/fxaa021）中开发的异速生长方程计算得到。 此外，研究团队采用冠层数字覆盖摄影（Digital Cover Photography, DCP）获取的12至20幅光学影像，基于Chianucci 2020年发表的研究流程（https://doi.org/10.1139/cjfr-2019-0055），从每块样地中提取了额外的冠层属性参数。 原始数据集包含3312条林木调查记录（对应单木实测数据）与824条冠层光学影像测量记录；同时还提供了一段R代码，用于基于原始数据集计算样地尺度的属性参数。