Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis

Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis

The accurate assessment of rice yield is crucially important for China’s food security and sustainable development. Remote sensing (RS), as an emerging technology, is expected to be useful for rice yield estimation especially at regional scales. With the development of unmanned aerial vehicles (UAVs...

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Bibliographic Details
Main Authors: Bo Duan, Shenghui Fang, Renshan Zhu, Xianting Wu, Shanqin Wang, Yan Gong, Yi Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Plant Science
Subjects:
rice
yield
remote sensing (RS)
unmanned aerial vehicle (UAV)
vegetation index (VI)
spectral mixture analysis (SMA)
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.00204/full

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