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Acadian Forest Volume Estimates Derived from Airborne LiDAR, Big BAF Sample Plots, and Fixed Area Plots on the Noonan Research Forest

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DataCite Commons2020-12-01 更新2024-07-13 收录
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https://dataverse.lib.unb.ca/citation?persistentId=doi:10.25545/Z8WRBJ
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The data are located on a 100 m N-S/E-W grid on the 80-ha Femelschlag Research Site on the Noonan Research Forest in New Brunswick, Canada. “Femel_EFI_GTV” contains the gross total volume (GTV; m3ha-1) estimates derived from airborne LiDAR scanning as part of the government of New Brunswick’s Enhanced Forest Inventory program. “Noonan_FemelPlot_GTV” contains the GTV estimates using four different plot types: fixed area plots with all trees measured for height; fixed area plots with 3P subsampling of heights; horizontal point sampling with all trees measured; and big BAF sample plots. The fixed area plots were circular with an 11.28 m radius and all tree 6cm DBH and greater were identified by species and measured for DBH and height. The 3P subsampling was simulated using a Height – Diameter curve as prediction and a target subsample size of 100 trees across the 83 plots. The horizontal point samples used a 2-M BAF angle gauge to select count trees for measurement. All trees 6 cm DBH and greater and considered “in” were identified by species and DBH measured. Heights were imputed using a Height – Diameter curve and the heights measured on the big BAF plots. The big BAF plots had the same plot design as the horizontal point samples and a 27-M BAF angle gauge was used to select trees for height measurement. All four plot types were center of the 100 m grid intersections. Grids do not align with EFI cells because the 100 m grid was established independently and prior to the EFI cells. The X – Y variables are the locations (in m) of the cell center (for Femel_EFI_GTV) and the plot centers (for Noonan_FemelPlot_GTV) with {0,0} being the SW corner of the study area.

本数据集的数据采集于加拿大新不伦瑞克省努南研究林内占地80公顷的费梅尔施拉格(Femelschlag)研究样地,该样地按100米南北-东西向网格布设。其中"Femel_EFI_GTV"数据集包含由新不伦瑞克省政府强化森林清查项目中的机载激光雷达扫描得到的总蓄积量(gross total volume,GTV;单位:m³·ha⁻¹)估算值。"Noonan_FemelPlot_GTV"数据集则包含采用四种不同样地类型得到的GTV估算值:全测树高的固定面积样地、结合树高3P抽样(3P subsampling)的固定面积样地、全测计数木的水平点抽样样地,以及大断面积系数(BAF,basal area factor)样地。固定面积样地为半径11.28米的圆形样地,对胸径(diameter at breast height,DBH)≥6厘米的所有树木进行物种识别,并测量其胸径与树高。3P抽样以树高-胸径曲线作为预测模型,在83个样地中设定目标子样本量为100株树木,并据此开展模拟抽样。水平点抽样样地采用2 m²·ha⁻¹断面积系数角规选取计数木开展测量,对胸径≥6厘米且符合入样标准的所有树木进行物种识别并测量胸径,树高则通过树高-胸径曲线插补得到;大断面积系数样地的样地设计与水平点抽样样地一致,采用27 m²·ha⁻¹断面积系数角规选取树木进行树高测量。上述四种样地均位于100米网格交点的中心位置。该100米网格系独立于EFI栅格单元且在其之前布设,因此二者无法对齐。X-Y变量为样地中心的坐标(单位:米),其中"Femel_EFI_GTV"对应栅格中心坐标,"Noonan_FemelPlot_GTV"对应样地中心坐标,研究区西南角的坐标为{0,0}。
提供机构:
UNB
创建时间:
2020-05-31
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供了加拿大新不伦瑞克省Noonan研究森林的森林总材积估计数据,基于机载激光雷达(LiDAR)扫描和多种地面采样方法(包括固定面积样地和大BAF样地)生成。它旨在支持森林清单的增强和偏差校正研究,适用于地球与环境科学领域,特别是森林资源监测和遥感技术应用。
以上内容由遇见数据集搜集并总结生成
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