Assessment of the influence of UAV-borne LiDAR scan angle and flight altitude on the estimation of wheat structural metrics with different leaf angle distributions-Reference-Cited by-同舟云学术

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Assessment of the influence of UAV-borne LiDAR scan angle and flight altitude on the estimation of wheat structural metrics with different leaf angle distributions

Published:2024-05 Issue: Volume:220 Page:108858
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Gu Yangyang,Wang Yongqing,Guo Tai,Guo Caili,Wang Xue,Jiang Chongya,Cheng Tao,Zhu Yan,Cao Weixing,Chen Qi,Yao Xia

Publisher

Elsevier BV

Reference36 articles.

1. Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion;Almeida;Remote Sens. Environ.,2021

2. Direct retrieval of canopy gap probability using airborne waveform lidar;Armston;Remote Sens. Environ.,2013

3. Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index;Calders;Agric. for. Meteorol.,2018

4. Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution;Campbell;Agric. for. Meteorol.,1986

5. Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand;Chen;Agric. for. Meteorol.,1991

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms;Remote Sensing;2024-08-28

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