Literature DB >> 24359647

Visible, near-infrared, and mid-infrared spectroscopy applications for soil assessment with emphasis on soil organic matter content and quality: state-of-the-art and key issues.

Asa Gholizadeh1, Luboš Borůvka, Mohammadmehdi Saberioon, Radim Vašát.   

Abstract

Visible near-infrared (Vis-NIR) reflection spectroscopy and mid-infrared (mid-IR) reflection spectroscopy are cost- and time-effective and environmentally friendly techniques that could be alternatives to conventional soil analysis methods. Successful determination of spectrally active soil components, including soil organic matter (SOM), depends on the selection of suitable pretreatment and multivariate calibration techniques. The objective of the present review is to critically examine the suitability of Vis-NIR (350-2500 nm) and mid-IR (4000-400 cm(-1)) spectroscopy as a tool for SOM quantity and quality determination. Particular attention is paid to different pretreatment and calibration procedures and methods, and their ability to predict SOM content from Vis-NIR and mid-IR data is discussed. We then review the most recent research using spectroscopy in different calibration scales (local, regional, or global). Finally, accuracy and robustness, as well as uncertainty in Vis-NIR and mid-IR spectroscopy, are considered. We conclude that spectroscopy, especially the mid-IR technique in association with Savitzky-Golay smoothing and derivatization and the least squares support vector machine (LS-SVM) algorithm, can be useful in determining SOM quantity and quality. Future research conducted for the standardization of protocols and soil conditions will allow more accurate and reliable results on a global and international scale.

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Year:  2013        PMID: 24359647     DOI: 10.1366/13-07288

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  7 in total

1.  Estimation of potentially toxic elements contamination in anthropogenic soils on a brown coal mining dumpsite by reflectance spectroscopy: a case study.

Authors:  Asa Gholizadeh; Luboš Borůvka; Radim Vašát; Mohammadmehdi Saberioon; Aleš Klement; Josef Kratina; Václav Tejnecký; Ondřej Drábek
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

2.  Effects of Moisture and Particle Size on Quantitative Determination of Total Organic Carbon (TOC) in Soils Using Near-Infrared Spectroscopy.

Authors:  Elena Tamburini; Fabio Vincenzi; Stefania Costa; Paolo Mantovi; Paola Pedrini; Giuseppe Castaldelli
Journal:  Sensors (Basel)       Date:  2017-10-17       Impact factor: 3.576

3.  Hyper-spectral response and estimation model of soil degradation in Kenli County, the Yellow River Delta.

Authors:  Chunyan Chang; Fen Lin; Xue Zhou; Gengxing Zhao
Journal:  PLoS One       Date:  2020-01-08       Impact factor: 3.240

4.  Use of soil spectral reflectance to estimate texture and fertility affected by land management practices in Ethiopian tropical highland.

Authors:  Gizachew Ayalew Tiruneh; Derege Tsegaye Meshesha; Enyew Adgo; Atsushi Tsunekawa; Nigussie Haregeweyn; Ayele Almaw Fenta; Anteneh Wubet Belay; Nigus Tadesse; Genetu Fekadu; José Miguel Reichert
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

5.  Rapid quantitative analysis of potassium in soil based on direct-focused laser ablation-laser induced breakdown spectroscopy.

Authors:  Peng-Cheng Han; Kun Yang; Lei-Zi Jiao; Hua-Chang Li
Journal:  Front Chem       Date:  2022-09-01       Impact factor: 5.545

6.  Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra.

Authors:  Yi Peng; Xiong Xiong; Kabindra Adhikari; Maria Knadel; Sabine Grunwald; Mogens Humlekrog Greve
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

7.  vis-NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil.

Authors:  Asa Gholizadeh; João A Coblinski; Mohammadmehdi Saberioon; Eyal Ben-Dor; Ondřej Drábek; José A M Demattê; Luboš Borůvka; Karel Němeček; Sabine Chabrillat; Julie Dajčl
Journal:  Sensors (Basel)       Date:  2021-03-30       Impact factor: 3.576

  7 in total

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