Mathematical techniques to remove moisture effects from visible-near-infrared-shortwave-infrared soil spectra-review

Visible-near-infrared-shortwave-infrared (VNIR-SWIR) spectroscopy is one of the most promising sensing techniques to meet ever-growing demands for soil information and data. To ensure the successful application of this technique in the field, efficient methods for tackling detrimental moisture effec...

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Bibliographic Details
Published in:Applied spectroscopy reviews 2023-10, Vol.58 (9), p.629-662
Main Authors: Knadel, Maria, Castaldi, F., Barbetti, R., Ben-Dor, E., Gholizadeh, A., Lorenzetti, R.
Format: Article
Language:English
Subjects:
Algorithms
diffuse reflectance spectroscopy
Effectiveness
field-moist conditions
indices
Infrared spectra
Mathematical analysis
Moisture content
Moisture effects
Near infrared radiation
Remote sensing
Short wave radiation
Soil moisture
Spectrum analysis
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Summary:Visible-near-infrared-shortwave-infrared (VNIR-SWIR) spectroscopy is one of the most promising sensing techniques to meet ever-growing demands for soil information and data. To ensure the successful application of this technique in the field, efficient methods for tackling detrimental moisture effects on soil spectra are critical. In this paper, mathematical techniques for reducing or removing the effects of soil moisture content (SMC) from spectra are reviewed. The reviewed techniques encompass the most common spectral pre-processing and algorithms, as well as less frequently reported methods including approaches within the remote sensing domain. Examples of studies describing their effectiveness in the search for calibration model improvement are provided. Moreover, the advantages and disadvantages of the different techniques are summarized. Future research including further studies on a wider range of soil types, in-field conditions, and systematic experiments considering several SMC levels to enable the definition of threshold values for the effectiveness of the discussed methods is recommended.
ISSN:0570-4928
1520-569X
DOI:10.1080/05704928.2022.2128365