Improved Estimation of Leaf Area Index by Reducing Leaf Chlorophyll Content and Saturation Effects Based on Red-Edge Bands

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Zhang, Zhewei;Jin, Wenjie;Dou, Ruyu;Cai, Zhiwen;Wei, Haodong;...

通讯作者：

Xu, BD

作者机构：

[Xu, Baodong; Xu, BD; Yang, Sen; Dou, Ruyu; Zhang, Zhewei; Wu, Tongzhou; Cai, Zhiwen; Jin, Wenjie] Huazhong Agr Univ, Macro Agr Res Inst, Coll Resources & Environm, Wuhan 430070, Peoples R China.

[Wei, Haodong] Huazhong Agr Univ, Macro Agr Res Inst, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China.

[Li, Zhijuan; Tan, Meilin] Inner Mongolia Autonomous Reg Peoples Govt, Inner Mongolia Autonomous Reg Bur Surveying Mappin, Hohhot 010010, Peoples R China.

[Wang, Cong] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.

[Yin, Gaofei] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China.

通讯机构：

[Xu, BD ] H

Huazhong Agr Univ, Macro Agr Res Inst, Coll Resources & Environm, Wuhan 430070, Peoples R China.

语种：

英文

关键词：

Vegetation mapping;Reflectivity;Estimation;Indexes;Analytical models;Mathematical models;Satellites;Chlorophyll-insensitive vegetation index (CIVI);leaf area index (LAI);PROSAIL;red-edge;sensitivity analysis;Sentinel-2

期刊：

IEEE Transactions on Geoscience and Remote Sensing

ISSN：

0196-2892

年：

2023

卷：

页码：

1-14

DOI：

10.1109/TGRS.2023.3270712

基金类别：

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 42001303 and 42271360) 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2019YFE0126700) 10.13039/501100012226-Fundamental Research Funds for the Central Universities (Grant Number: 2662021JC013)

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Leaf area index (LAI) is an important indicator for monitoring vegetation growth and estimating crop yields. The empirical-based model using vegetation indices (VIs) is an effective method for LAI estimation at the regional scale. However, due to the complexity of canopy radiation interaction processes, the leaf chlorophyll content ( $C_{ab}$ ) and saturation effects on canopy reflectance restrict the accuracy of VI-based LAI retrieval. To address these limitations, we propose a novel chlorophyll-insensitive VI (CIVI) using red, red-edge, and near-infrared (NIR) bands to improve regional LAI m...

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Improved Estimation of Leaf Area Index by Reducing Leaf Chlorophyll Content and Saturation Effects Based on Red-Edge Bands

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