Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data

Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data

Timely monitoring nitrogen status of rice crops with remote sensing can help us optimize nitrogen fertilizer management and reduce environmental pollution. Recently, the use of near-surface imaging spectroscopy is emerging as a promising technology that can collect hyperspectral images with spatial...

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Bibliographic Details
Main Authors: Kai Zhou, Tao Cheng, Yan Zhu, Weixing Cao, Susan L. Ustin, Hengbiao Zheng, Xia Yao, Yongchao Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Plant Science
Subjects:
leaf nitrogen concentration (LNC)
imaging spectrometers
spatial resolutions
paddy rice
vegetation indices (VIs)
Gaussian Process Regression (GPR)
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.00964/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.00964/full

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