Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles

Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles

The accurate estimation of aboveground biomass (AGB) and leaf area index (LAI) is critical to characterize crop growth status and predict grain yield. Unmanned aerial vehicle (UAV) -based remote sensing has attracted significant interest due to its high flexibility and easiness of operation. The mix...

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Bibliographic Details
Main Authors: Yanyu Wang, Ke Zhang, Chunlan Tang, Qiang Cao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaojun Liu
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
aboveground biomass
leaf area index
vegetation index
linear mixed-effect model
UAV multispectral image
remote sensing
rice
Online Access:https://www.mdpi.com/2072-4292/11/11/1371

Internet

https://www.mdpi.com/2072-4292/11/11/1371

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