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Updated: Jun 23, 2026
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In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
[Research on the method for rapid detection of soil moisture content using spectral data]
Tao Song1, Yi-Dan Bao, Yong He
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|May 22, 2009
Summary
This study introduces a rapid method for detecting soil moisture content using visible/near-infrared spectroscopy. A monadic linear regression model accurately predicts soil moisture, demonstrating spectroscopy
Area of Science:
- Analytical Chemistry
- Remote Sensing
- Soil Science
Background:
- Spectroscopy is a rapid, non-destructive analytical technique used across various industries.
- Accurate soil moisture content is crucial for agriculture and environmental monitoring.
Purpose of the Study:
- To develop a rapid detection method for soil moisture content.
- To identify sensitive spectral bands within the visible/near-infrared spectrum for soil moisture analysis.
- To establish a predictive model for soil moisture content.
Main Methods:
- Collected spectral data from 52 soil samples using a FieldSpec HandHeld spectroradiometer.
- Identified soil moisture-sensitive spectral bands using the correlation coefficient method.
- Developed a monadic linear regression model utilizing the sensitive spectral band data.
Main Results:
- A significant spectral band sensitive to soil moisture content was identified.
- The monadic linear regression model achieved a high correlation coefficient (r) of 0.9665 for prediction.
- The model demonstrated a low root mean square error of prediction (RMSEP) of 0.0121.
Conclusions:
- Visible/near-infrared spectroscopy provides an available and effective method for rapid soil moisture detection.
- The developed regression model accurately predicts soil moisture content.
- This technique offers a non-destructive and efficient approach for soil analysis.
