Estimation of Leaf Water Content in Winter Wheat Using Grey Relational Analysis–Partial Least Squares Modeling with Hyperspectral Data-Reference-Cited by-同舟云学术

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Estimation of Leaf Water Content in Winter Wheat Using Grey Relational Analysis–Partial Least Squares Modeling with Hyperspectral Data

Published:2013-09 Issue:5 Volume:105 Page:1385-1392
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Jin Xiuliang¹²³,Xu Xingang¹,Song Xiaoyu¹,Li Zhenhai¹,Wang Jihua¹²,Guo Wenshan²

Affiliation:

1. Beijing Research Center for Information Technology in Agriculture Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China

2. Key Lab. of Crop Genetics and Physiology of Jiangsu Province Yangzhou Univ. Yangzhou 225009 China

3. National Engineering Research Center for Information Technology in Agriculture Beijing 100097 China

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2013.0088

Reference37 articles.

1. Water and Air Changes in Grapefruit, Corn, and Cotton Leaves with Maturation 1

2. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

3. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress

4. Designing a spectral index to estimate vegetation water content from remote sensing data

5. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1

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