Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data

Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data

Estimating the aboveground biomass (AGB) of rice using remotely sensed data is critical for reflecting growth status, predicting grain yield, and indicating carbon stocks in agroecosystems. A combination of multisource remotely sensed data has great potential for providing complementary datasets, im...

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Bibliographic Details
Main Authors: Zhonglin Wang, Yangming Ma, Ping Chen, Yonggang Yang, Hao Fu, Feng Yang, Muhammad Ali Raza, Changchun Guo, Chuanhai Shu, Yongjian Sun, Zhiyuan Yang, Zongkui Chen, Jun Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Plant Science
Subjects:
aboveground biomass
rice
vegetation indices
wavelet features
texture
unmanned aerial vehicle
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.903643/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.903643/full

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