研究超时空陆地激光点云监测落叶树生长的潜力

A. Bienert, Katja Richter, Sophia Boehme, Hans-Gerd Maas
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摘要

摘要监测树木的生长过程对于生态研究和理解植被与环境之间错综复杂的关系具有重要意义。时间序列分析表明,树叶萌发时间与气候变化之间存在相关性,全球变暖导致树叶萌发时间提前。传统的森林资源调查方法难以量化小尺度的生长过程,而陆地激光扫描则为提供高分辨率的三维信息提供了有力的选择。本研究探讨了如何利用高频率超时空陆地激光扫描数据来定量描述落叶树的生长过程,并在有花栎树(Quercus robur)上进行了测试。该研究旨在解决在高频次陆地激光扫描数据中检测叶片生长的关键问题。此外,研究还探讨了三维树木参数和点云比较如何捕捉全年的树叶和树木生长情况。M3C2 点云分析结果表明,临时树枝移动与降水相关。在一年中,检测到树枝的移动随着与树干距离的增长而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Potential of Hyper-Temporal Terrestrial Laser Point Clouds for Monitoring Deciduous Tree Growth
Abstract. Monitoring tree growth processes is relevant for ecological research and understanding the intricate relationship between vegetation and the environment. Time series analyses have revealed a correlation between leaf emergence timing and climate change, with earlier leaf emergence attributed to global warming. While traditional forest inventory methods struggle to quantify growth processes on small scales, terrestrial laser scanning provides a powerful alternative for providing high-resolution 3D information. This study explores the use of high-frequency hyper-temporal terrestrial laser scanning data to quantitatively describe deciduous tree growth, tested on a pedunculate oak (Quercus robur). The research aims to address key questions about detecting leaf growth in hypertemporal terrestrial laser scanning data. Additionally, it explores how 3D tree parameters and point cloud comparisons capture leaf and tree growth throughout the year. Results from M3C2 point cloud analyses indicate that the temporary branch movements correlate with precipitation. Over the year, branch movements were detected to increase with growing distance from the trunk.
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