Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm

Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm

Novel hyperspectral indices, which are the first derivative normalized difference nitrogen index (FD-NDNI) and the first derivative ratio nitrogen vegetation index (FD-SRNI), were developed to estimate the leaf nitrogen content (LNC) of wheat. The field stress experiments were conducted with differe...

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Bibliographic Details
Main Authors: Liang Liang, Liping Di, Ting Huang, Jiahui Wang, Li Lin, Lijuan Wang, Minhua Yang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing
crop parameter inversion
spectral index design
derivative
algorithm optimization
Online Access:https://www.mdpi.com/2072-4292/10/12/1940

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