数据论文

2019年天山云杉背包式激光雷达三维参数测量数据集

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  • 1.新疆农业大学计算机与信息工程学院,乌鲁木齐 830052
    2.新疆天山西部国有林管理局,伊宁 835000
    3.中国农业科学院农业信息研究所,北京 100081
    4.国家农业科学数据中心,北京 100081
    5.农业农村部农业大数据重点实验室,北京 100081
    6.新疆林业科学院现代林业研究所,乌鲁木齐 830092
[1] 王亚鹏|王亚鹏,男,在读硕士研究生,研究方向:农业信息化;E-mail:1033453569@qq.com|张文革,胡林,等. 2019年天山云杉背包式激光雷达三维参数测量数据集[DB/OL]. 国家农业科学数据中心.DOI: 10.12205/A0007.20220609.30.ds.2055.|张文革,胡林,等. 2019年天山云杉背包式激光雷达三维参数测量数据集[DB/OL]. 国家农业科学数据中心.DOI: 10.12205/A0007.20220609.30.ds.2055.

收稿日期: 2022-02-26

  网络出版日期: 2022-06-29

基金资助

天山北坡天山云杉生物量时空估测方法优化研究(31860180);基于深度学习的土壤重金属空间估测变异函数多尺度套合模型最优拟合(41807005);新疆林木腐烂病风险时空分析及预测研究(32060321)

3D Parameter Measurement Dataset of Picea Schrenkiana var. tianshanica by Using Backpack LiDAR in 2019

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  • 1.Computer and Information Engineering College, Xinjiang Agricultural University, Urumqi 830052, China
    2.State owned Forest Administration Bureau of Western Tianshan, Yining 835000, China
    3.Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    4.National Agriculture Science Data Center, Beijing 100081, China
    5.Key Laboratory of Big Agri-Data, Ministry of Agriculture, Beijing 100081, China
    6.Institute of Mordern Forestry, Xinjiang Academy of Forestry Science, Urumqi 830052, China

Received date: 2022-02-26

  Online published: 2022-06-29

摘要

单木胸径、树高和冠幅等三维结构参数是森林生态系统结构、功能与格局等研究的重要基础。应用天基卫星遥感影像和空基无人机影像多用于提取区域、林分和样地尺度的森林结构参数,基于地面背包式激光雷达可高效获取单木尺度的高精度特征数据,提升传统的人工地面调查效率和准确性,是森林结构参数反演数据来源的有力补充。以新疆西天山森林生态系统国家定位观测研究站的天山云杉林为研究对象,根据天山云杉的立地条件、林分起源和空间分布等特征,于2019年10月选择3块人工林和3块天然林样地进行背包式激光雷达扫描,共获取320株天山云杉单木的三维点云数据。通过对点云数据进行预处理和单木参数识别,提取单木X坐标、Y坐标、胸径、树高、树冠直径、冠幅面积和树冠体积等三维结构参数,构建2019年天山云杉背包式激光雷达三维参数测量数据集。本数据集可为多尺度森林生态系统关键参数反演研究提供基础数据,也可为森林资源外业调查过程中背包式激光雷达应用效果评估提供案例。

本文引用格式

王亚鹏, 张文革, 胡林, 刘婷婷, 曹姗姗, 王蕾, 孙伟 . 2019年天山云杉背包式激光雷达三维参数测量数据集[J]. 农业大数据学报, 2022 , 4(1) : 119 -124 . DOI: 10.19788/j.issn.2096-6369.220118

Abstract

Three-dimensional structural parameters such as single wood DBH, tree height and crown width are an important basis for research on the structure, function and pattern of forest ecosystems. The application of space-based satellite remote sensing images and space-based UAV images were mostly used to extract forest structure parameters at the regional, stand and sample plot scales. Based on ground-based backpack LIDAR, high-precision feature data at the single-wood scale can be efficiently obtained to improve the efficiency and accuracy of traditional manual ground surveys, which is a powerful supplement to the data sources for forest structure parameter inversion. This dataset was based on the Picea Schrenkiana var. tianshanica forest at the National Positioning Observation and Research Station for Forest Ecosystems in the Western Tianshan Mountains of Xinjiang. Based on the characteristics of the site conditions, stand origin and spatial distribution of Picea Schrenkiana var. tianshanica, three plantation and three natural forest sample plots were selected for backpack LiDAR scanning in October 2019, and 3D point cloud data of 320 single woods of Picea Schrenkiana var. tianshanica were obtained. By preprocessing the point cloud data and identifying the single wood parameters, the 3D structural parameters such as single wood X coordinate, Y coordinate, DBH, tree height, crown diameter, crown area and crown volume were extracted to construct the 3D Parameter Measurement Dataset of Picea Schrenkiana var. tianshanica by using backpack LiDAR in 2019. This dataset could provide basic data for inversion studies of key parameters of multi-scale forest ecosystems, and can also provide a case study for evaluating the effect of backpack LiDAR application in the process of forest resource field survey.

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