Evaluation of Reflectance and Canopy Scattering Coefficient Based Vegetation Indices to Reduce the Impacts of Canopy Structure and Soil in Estimating Leaf and Canopy Chlorophyll Contents-Reference-Cited by-同舟云学术

Evaluation of Reflectance and Canopy Scattering Coefficient Based Vegetation Indices to Reduce the Impacts of Canopy Structure and Soil in Estimating Leaf and Canopy Chlorophyll Contents

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Yingying¹^ORCID,Liang Shunlin²^ORCID

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Department of Geography, The University of Hong Kong, Hong Kong, China

Funder

Open Research Program of the International Research Center of Big Data for Sustainable Development Goals

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10100722.pdf?arnumber=10100722

Reference83 articles.

1. Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery

2. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements

3. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture

4. The MERIS terrestrial chlorophyll index

5. Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data

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