Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages-Reference-Cited by-同舟云学术

Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages

Published:2021-07-27 Issue: Volume: Page:1-23
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Xing Naichen¹²,Huang Wenjiang¹²³,Ye Huichun¹³,Dong Yingying¹,Kong Weiping⁴,Ren Yu¹²,Xie Qiaoyun⁵

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing China

2. University of Chinese Academy of Sciences, Beijing China

3. Key Laboratory of Earth Observation, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya, China

4. Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

5. University of Technology Sydney, Sydney, Australia

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2021.1918909

Reference55 articles.

1. Relationship Between Leaf Area and Dry Matter in Winter Wheat 1

2. Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands

3. Reflectance, green leaf area index and ear hydric status of wheat from anthesis until maturity

4. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

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