Effect of Leaf Occlusion on Leaf Area Index Inversion of Maize Using UAV–LiDAR Data

Effect of Leaf Occlusion on Leaf Area Index Inversion of Maize Using UAV–LiDAR Data

The leaf area index (LAI) is a key parameter for describing crop canopy structure, and is of great importance for early nutrition diagnosis and breeding research. Light detection and ranging (LiDAR) is an active remote sensing technology that can detect the vertical distribution of a crop canopy. To...

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Bibliographic Details
Main Authors: Lei Lei, Chunxia Qiu, Zhenhai Li, Dong Han, Liang Han, Yaohui Zhu, Jintao Wu, Bo Xu, Haikuan Feng, Hao Yang, Guijun Yang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
UAV–LiDAR
LAI
occlusion effect
different layers
different planting densities
ridge direction
optimal voxel size
Online Access:https://www.mdpi.com/2072-4292/11/9/1067

Internet

https://www.mdpi.com/2072-4292/11/9/1067

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