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Updated: Jul 10, 2026
06:28
Field Measurement of Effective Leaf Area Index using Optical Device in Vegetation Canopy
Published on: July 29, 2021
[Inversion of winter wheat foliage vertical distribution based on canopy reflected spectrum by partial least squares
Ji-Hua Wang1, Wen-Jiang Huang, Cai-Lian Lao
1National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China. wangjh@nercita.org.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|October 20, 2007
Summary
Remote sensing accurately estimates winter wheat nitrogen. Vertical leaf nitrogen gradients are key indicators, with nitrogen decreasing from canopy top to ground.
Area of Science:
- Agricultural remote sensing
- Plant physiology
- Spectroscopy
Context:
- Remote sensing (RS) is increasingly used in agriculture for crop monitoring.
- Foliar nitrogen content (N) is crucial for plant growth and crop nutrition.
- Vertical leaf N gradients are important indicators of crop health.
Purpose:
- To develop and validate a method for inverting the vertical distribution of nitrogen in winter wheat using canopy reflected spectra.
- To assess the effectiveness of partial least squares regression (PLS) for this inversion.
Summary:
- Nitrogen content in winter wheat exhibits a decreasing trend from canopy top to ground.
- Partial Least Squares Regression (PLS) was employed to invert the vertical distribution of nitrogen.
- Models were validated using independent data, showing acceptable inversion precision and error.
Impact:
- Provides a theoretical basis for non-destructive, variable-rate nitrogen application in winter wheat.
- Enhances the precision of crop nutrition assessment using remote sensing data.
- Supports optimized nitrogen management for improved crop yields and resource efficiency.
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