Estimation of Dynamic Canopy Variables Using Hyperspectral Derived Vegetation Indices Under Varying N Rates at Diverse Phenological Stages of Rice

Estimation of Dynamic Canopy Variables Using Hyperspectral Derived Vegetation Indices Under Varying N Rates at Diverse Phenological Stages of Rice

Non-destructive and rapid estimation of canopy variables is imperative for predicting crop growth and managing nitrogen (N) application. Hyperspectral remote sensing can be used for timely and accurate estimation of canopy physical and chemical properties; however, discrepancies associated with soil...

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Bibliographic Details
Main Authors: Mairaj Din, Jin Ming, Sadeed Hussain, Syed Tahir Ata-Ul-Karim, Muhammad Rashid, Muhammad Naveed Tahir, Shizhi Hua, Shanqin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Plant Science
Subjects:
dynamic canopy variables
hyperspectral reflectance
rice
phenology
N-nutrition
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.01883/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.01883/full

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