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Updated: Jan 22, 2026
10:20
Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses
Published on: August 9, 2019
13.2K
Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor
Wange Li1, Zhongqiu Sun1, Shan Lu1
1Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Science, Northeast Normal University, Changchun, 130024, China.
Plant, Cell & Environment
|July 1, 2019
Summary
Spectral indices can estimate leaf chlorophyll content (LCC), but directional reflection affects accuracy. A modified Datt index improves LCC estimation across various observation angles and plant species.
Area of Science:
- Plant physiology
- Remote sensing
- Spectroscopy
Background:
- Chlorophyll content in plant leaves indicates physiological status.
- Spectral indices are used to estimate leaf chlorophyll content (LCC).
- Existing spectral indices often neglect the impact of angular reflection on LCC estimation accuracy.
Purpose of the Study:
- To investigate the influence of directional reflection on LCC estimation accuracy.
- To develop and validate a spectral index that minimizes directional reflection effects for LCC prediction.
Main Methods:
- Measured spectral reflectance factors of leaves from three plant species at multiple observation angles.
- Analyzed the relationship between existing spectral indices and LCC across different directions.
- Tested a modified Datt index, a ratio of reflectance differences, to mitigate directional reflection effects.
Main Results:
- Directional leaf surface reflection significantly impacts LCC estimation accuracy with existing indices.
- The modified Datt index accurately estimated LCC across all observation directions and plant species.
- The modified Datt index provided consistent LCC predictions for each species at individual observation directions.
Conclusions:
- The modified Datt index offers a robust method for optical detection of LCC using multiangular spectral reflection.
- This approach enhances the convenience and accuracy of LCC variation studies in plant science.
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