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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Detalles Bibliográficos
Autores principales: Wang, Zhonglin, Ma, Yangming, Chen, Ping, Yang, Yonggang, Fu, Hao, Yang, Feng, Raza, Muhammad Ali, Guo, Changchun, Shu, Chuanhai, Sun, Yongjian, Yang, Zhiyuan, Chen, Zongkui, Ma, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197132/
https://www.ncbi.nlm.nih.gov/pubmed/35712565
http://dx.doi.org/10.3389/fpls.2022.903643

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