利用激光雷达点云测定苏格兰松林分空间结构对“鲍里·图科尔斯基”国家公园地衣群落保护的意义

P. Wężyk, P. Hawryło, Marta Szostak, Karolina Zięba-Kulawik, Monika Winczek, Ewa Siedlarczyk, Adam Kurzawiński, Justyna Rydzyk, Jowita Kmiecik, Wojciech Gilewski, Monika Szparadowska, A. Warchoł, A. Turowska
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引用次数: 6

摘要

该研究于2018年开展,由森林基金资助,目的是分析“鲍里·图科尔斯基”国家公园(PNBT)地区松林的生物特征和参数,该公园于2017年启动了一项积极保护地衣的计划。使用激光扫描(LiDAR)对树木和林分的选定生物特征进行了环境分析,包括ULS(无人激光扫描;RIEGL VUX-1)和TLS(地面激光扫描;法鲁聚焦3d;X130)。利用激光雷达技术,通过一系列描述植被三维空间结构特征的描述性统计,精确确定了松林的结构。利用树冠模型(CHM),对林冠体积和林冠下空间体积进行了分析。对于所分析的小隔间,由于地衣的主动保护,对到达冠层和地面的太阳能进行了GIS太阳能分析。使用安装在无人机多旋翼平台台风H520 (Yuneec)上的专用RedEdge-M相机(MicaSense)获得多光谱照片。为了探测地面高温地区,还进行了装有热像仪的飞行。植物指数:NDVI、NDRE、GNDVI和GRVI也被计算。2017年和2018年获得的数据为林分4维变化的时空分析提供了基础,这些变化与部分树木和有机层(凋落物、苔藓层)的去除有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using LiDAR Point Clouds in Determination of the Scots Pine Stands Spatial Structure Meaning in the Conservation of Lichen Communities in “Bory Tucholskie” National Park
Abstract The aim of the research carried out in 2018 and financed by the Forest Fund was the analysis of biometric features and parameters of pine stands in the area of the “Bory Tucholskie” National Park (PNBT), where a program of active protection of lichen was initiated in 2017. Environmental analyses were conducted in relation to selected biometric features of trees and stands using laser scanning (LiDAR), including ULS (Unmanned Laser Scanning; RIEGL VUX-1) and TLS (Terrestrial Laser Scanning; FARO FOCUS 3D; X130). Thanks to the application of LiDAR technology, the structure of pine stands was precisely determined by means of a series of descriptive statistics characterizing the 3D spatial structure of vegetation. Using the Trees Crown Model (CHM), the analysis of the volume of tree crowns and the volume of space under canopy was performed. For the analysed sub-compartments, GIS solar analyses were carried out for the solar energy reaching the canopy and the ground level due to active protection of lichen. Multispectral photos were obtained using a specialized RedEdge-M camera (MicaSense) mounted on the UAV multi rotor platform Typhoon H520 (Yuneec). Flights with a thermal camera were also performed in order to detect places on the ground with high temperature. Plant indices: NDVI, NDRE, GNDVI and GRVI were also calculated for sub-compartments. The data obtained in 2017 and 2018 were the basis for spatial and temporal analyses of 4-D changes in stands which were related to the removal of some trees and organic layer (litter, moss layer).
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