Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

This paper evaluates the potential of integrating textural and spectral information from unmanned aerial vehicle (UAV)-based multispectral imagery for improving the quantification of nitrogen (N) status in rice crops. Vegetation indices (VIs), normalized difference texture indices (NDTIs), and their...

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Bibliographic Details
Main Authors: Hengbiao Zheng, Jifeng Ma, Meng Zhou, Dong Li, Xia Yao, Weixing Cao, Yan Zhu, Tao Cheng
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
uav
multispectral imagery
texture analysis
vegetation index
n status
rice
Online Access:https://www.mdpi.com/2072-4292/12/6/957

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