A novel red‐edge spectral index for retrieving the leaf chlorophyll content-Reference-Cited by-同舟云学术

A novel red‐edge spectral index for retrieving the leaf chlorophyll content

Published:2022-10-18 Issue:12 Volume:13 Page:2771-2787
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Zhang Hu¹²^ORCID,Li Jing¹²^ORCID,Liu Qinhuo¹²^ORCID,Lin Shangrong³^ORCID,Huete Alfredo⁴,Liu Liangyun⁵^ORCID,Croft Holly⁶,Clevers Jan G. P. W.⁷^ORCID,Zeng Yelu⁸^ORCID,Wang Xiaohan¹²,Gu Chenpeng¹²^ORCID,Zhang Zhaoxing¹,Zhao Jing¹^ORCID,Dong Yadong¹,Mumtaz Faisal¹²^ORCID,Yu Wentao¹^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences Beijing Normal University Beijing China

2. University of Chinese Academy of Sciences Beijing China

3. School of Atmospheric Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Sun Yat‐sen University Zhuhai China

4. School of Life Sciences University of Technology Sydney Broadway New South Wales Australia

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

6. Department of Animal and Plant Sciences University of Sheffield Sheffield UK

7. Laboratory of Geo‐Information Science and Remote Sensing Wageningen University & Research Wageningen The Netherlands

8. College of Land Science and Technology China Agricultural University Beijing China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13994

Reference49 articles.

1. Characterizing the Variability of the Structure Parameter in the PROSPECT Leaf Optical Properties Model

2. Red-edge ratio Normalized Vegetation Index for remote estimation of green biomass

3. A four-scale bidirectional reflectance model based on canopy architecture

4. Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop

5. Retrieval of canopy biophysical variables from bidirectional reflectance

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