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用于监测森林叶面积指数的自动原位激光扫描仪。

Automated in-situ laser scanner for monitoring forest Leaf Area Index.

作者信息

Culvenor Darius S, Newnham Glenn J, Mellor Andrew, Sims Neil C, Haywood Andrew

机构信息

CSIRO Land & Water, Private Bag 10, Clayton South, VIC 3169, Australia.

Victorian Department of Environment and Primary Industries, 8 Nicholson Street, East Melbourne, VIC 3002, Australia.

出版信息

Sensors (Basel). 2014 Aug 14;14(8):14994-5008. doi: 10.3390/s140814994.

DOI:10.3390/s140814994
PMID:25196006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4179009/
Abstract

An automated laser rangefinding instrument was developed to characterize overstorey and understorey vegetation dynamics over time. Design criteria were based on information needs within the statewide forest monitoring program in Victoria, Australia. The ground-based monitoring instrument captures the key vegetation structural information needed to overcome ambiguity in the estimation of forest Leaf Area Index (LAI) from satellite sensors. The scanning lidar instrument was developed primarily from low cost, commercially accessible components. While the 635 nm wavelength lidar is not ideally suited to vegetation studies, there was an acceptable trade-off between cost and performance. Tests demonstrated reliable range estimates to live foliage up to a distance of 60 m during night-time operation. Given the instrument's scan angle of 57.5 degrees zenith, the instrument is an effective tool for monitoring LAI in forest canopies up to a height of 30 m. An 18 month field trial of three co-located instruments showed consistent seasonal trends and mean LAI of between 1.32 to 1.56 and a temporal LAI variation of 8 to 17% relative to the mean.

摘要

开发了一种自动激光测距仪,用于表征上层和下层植被随时间的动态变化。设计标准基于澳大利亚维多利亚州全州森林监测计划的信息需求。这种地面监测仪器获取了关键的植被结构信息,有助于克服利用卫星传感器估算森林叶面积指数(LAI)时的模糊性。该扫描激光雷达仪器主要由低成本、商业上可获取的组件开发而成。虽然635纳米波长的激光雷达并非理想地适用于植被研究,但在成本和性能之间存在可接受的权衡。测试表明,在夜间运行期间,对距离达60米的活树叶的距离估计可靠。鉴于该仪器的天顶角扫描角度为57.5度,它是监测高度达30米的森林冠层中LAI的有效工具。对三个共置仪器进行的为期18个月的野外试验显示出一致的季节趋势,平均LAI在1.32至1.56之间,相对于平均值的LAI时间变化为8%至17%。

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本文引用的文献

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Estimation of deciduous forest leaf area index using direct and indirect methods.运用直接和间接方法估算落叶林叶面积指数
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2
Estimating forest LAI profiles and structural parameters using a ground-based laser called 'Echidna'.使用名为“针鼹”的地面激光雷达估算森林叶面积指数剖面和结构参数。
Tree Physiol. 2009 Feb;29(2):171-81. doi: 10.1093/treephys/tpn022. Epub 2008 Dec 5.
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3D lidar imaging for detecting and understanding plant responses and canopy structure.用于检测和理解植物反应及冠层结构的三维激光雷达成像
一种用于从地面激光扫描时间序列监测植物结构动力学中昼夜节律的聚类框架。
Front Plant Sci. 2019 Apr 17;10:486. doi: 10.3389/fpls.2019.00486. eCollection 2019.
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PLoS One. 2019 Jan 17;14(1):e0209888. doi: 10.1371/journal.pone.0209888. eCollection 2019.
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Effects of reduced terrestrial LiDAR point density on high-resolution grain crop surface models in precision agriculture.地面激光雷达点密度降低对精准农业中高分辨率谷物作物表面模型的影响。
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Ground-based measurements of leaf area index: a review of methods, instruments and current controversies.叶面积指数的地面测量:方法、仪器及当前争议综述
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