意大利北部杨树人工林树木清查与冠层结构数据集

F. Chianucci, L. Marchino, C. Bidini, A. Giorcelli, D. Coaloa, P. Chiarabaglio, F. Giannetti, G. Chirici, C. Tattoni
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引用次数: 2

摘要

该数据集报告了在伦巴第地区(意大利北部)代表杨树种植园的38平方(50 x 50米)0.25公顷地块收集的数据,这些数据用于校准来自无人机(UAV)和卫星(Sentinel-2)传感器的光学信息。在每个地块中,使用卡尺测量乳房高度处的直径;每棵树的高度,茎和树冠体积,然后利用在一项独立研究中开发的异速生长方程从直径推导出来。利用数字覆盖摄影(DCP)收集的12-20幅光学图像,得到每个样地的其他冠层属性(叶片和冠盖度、冠孔隙度、叶面积指数)。收集到的数据可以对这些人工林的结构及其随轮作时间的变化进行特征评估。冠层和树冠数据还可以用于评估最佳轮作和树间距,以及林分和冠层结构之间的关系。原始数据集包括与库存测量相关的2,591条记录(树木)和与光学冠层测量相关的616条记录(图像)。还提供了一个R代码来从原始数据中计算图级属性。数据集和相关元数据可在http://dx.doi.org/10.17632/ycr7w5pvkt.1免费获得。
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Dataset of tree inventory and canopy structure in poplar plantations in Northern Italy
The dataset reports data collected in 38 square (50 x 50m) 0.25 ha plots representative of poplar plantations in Lombardy Region (Northern Italy), which were used to calibrate optical information derived from unmanned aerial vehicle (UAV) and satellite (Sentinel-2) sensors. In each plot, the diameter at breast height was measured using a caliper; height, stem and crown volume of each tree were then derived from diameter using allometric equations developed in an independent study. Additional canopy attributes (foliage and crown cover, crown porosity, leaf area index) were derived in each plot from 12-20 optical images collected using digital cover photography (DCP). The collected data allows characterizing the assessment of structure of these plantations, along with their variation over the rotation time. Canopy and crown data also enable the evaluation of optimal rotation and tree spacing, as well as the relationship between stand and canopy structure. The raw datasets consist of 2,591 records (trees) associated with inventory measurements and 616 records (images) associated with optical canopy measurements. An R code was also provided to calculate plot-level attributes from raw data. Dataset and associated metadata are freely available at http://dx.doi.org/10.17632/ycr7w5pvkt.1 .
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来源期刊
Annals of Silvicultural Research
Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry
CiteScore
2.70
自引率
0.00%
发文量
0
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