Estimation of the three-dimensional spatial distribution of maize leaf chlorophyll through fusion of spectral, textural, and structural features from multimodal remote sensing

Jixuan Yan; Jiaqin Yuan; Zichen Guo; Wenning Wang; Qiang Li; Zhuo Che; Guang Li; Weiwei Ma; Yinshan Ma; Kejing Cheng; Xuchun Li

doi:10.1016/j.jag.2026.105355

May 24, 2026International Journal of Applied Earth Observation and GeoinformationOpen Access

Estimation of the three-dimensional spatial distribution of maize leaf chlorophyll through fusion of spectral, textural, and structural features from multimodal remote sensing

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Key Points

This research aims to estimate the three-dimensional distribution of maize leaf chlorophyll using multimodal remote sensing data.
Integrated LiDAR point clouds with RGB and multispectral imagery.
Conducted feature selection focusing on spectral indices and texture features.
Utilized UAV and handheld LiDAR for enhanced representation of canopy structure.
Nitrogen levels and cultivars significantly influence the vertical structure of SPAD (Soil Plant Analysis Development).
Three-dimensional SPAD-derived metrics showed superior performance compared to traditional traits in estimating yield.

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Implication

Study estimates maize leaf chlorophyll distribution, suggesting improved yield analysis methods.

Abstract

• Integrated LiDAR point clouds with RGB and multispectral imagery. • Feature selection based on spectral indices and texture features. • UAV and handheld LiDAR fusion improves canopy structure representation. • Nitrogen level and cultivars are key drivers of SPAD vertical structure. • Three-dimensional SPAD-derived parameters outperform conventional traits in yield analysis.

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Yan et al. (2026) studied this question.

synapsesocial.com/papers/6a153b00b5d9c58d83e8d465 https://doi.org/10.1016/j.jag.2026.105355

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Estimation of the three-dimensional spatial distribution of maize leaf chlorophyll through fusion of spectral, textural, and structural features from multimodal remote sensing

Key Points

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Implication

Abstract

Discussion

Cite This Study

Estimation of the three-dimensional spatial distribution of maize leaf chlorophyll through fusion of spectral, textural, and structural features from multimodal remote sensing

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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