Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery

Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery

Abstract Background Leaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation extraction in remote sensing imagery is critical for LAI estimation. However, most studies do not fully exploit the advantages of Unmanned Aerial Ve...

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Bibliographic Details
Main Authors: Shuang Wu, Lei Deng, Lijie Guo, Yanjie Wu
Format: Article
Language:English
Published: BMC 2022-05-01
Series:Plant Methods
Subjects:
Leaf area index (LAI)
Unmanned aerial vehicle (UAV)
High resolution
Data fusion
Online Access:https://doi.org/10.1186/s13007-022-00899-7

Internet

https://doi.org/10.1186/s13007-022-00899-7

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