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Updated: Jan 3, 2026
Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
Published on: September 1, 2020
Multisource spectral-integrated estimation of cadmium concentrations in soil using a direct standardization and
Bin Zou1, Xiaolu Jiang2, Huihui Feng3
1School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China; Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha, Hunan 410083, China; Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution, Central South University, Changsha, Hunan 410083, China.
Hyperspectral analysis can detect soil cadmium (Cd) using a novel method combining direct standardization (DS) and Spiking algorithms. This approach integrates multisource spectra for improved Cd concentration estimation accuracy.
Area of Science:
- Environmental Science
- Geochemistry
- Remote Sensing
Background:
- Hyperspectral analysis offers potential for soil heavy metal detection due to its wide spatial sampling and continuity.
- Identifying specific spectral responses of heavy metals in naturally polluted soils remains a significant challenge.
Purpose of the Study:
- To explore the spectral response characteristics of cadmium (Cd) in soil.
- To develop a novel method for integrating multisource spectra to enhance Cd concentration estimation accuracy.
Main Methods:
- Produced near standard soil samples with known Cd levels.
- Collected and measured spectra of naturally polluted and near standard soil samples.
- Applied a combined direct standardization (DS) and Spiking algorithm to integrate multisource spectra.
Main Results:
- Principle component stepwise regression (PCSR) indicated reflectance across all wavelengths (380-2460 nm) reflects soil Cd concentration differences.
- Spectral reflectance sensitivity was strongest around 400 nm, 1000 nm, and above 2300 nm.
- The integrated multisource spectra significantly improved Cd estimation accuracy (R²=0.96, RMSE=0.29, RPD=1.21).
Conclusions:
- The study presents a feasible method for exploring spectral response characteristics of soil heavy metals.
- Highlights the potential of hyperspectral analysis for large-scale, low-level, and satellite remote sensing of soil contamination.
