The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
Abstract
This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared (MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the properties that can be predicted and the accuracy of the predictions, (2) the most suitable spectral regions for specific soil properties, (3) the number of predictions reported for each property, and (4) in-field versus laboratory spectral techniques.We found the following properties to be successfully predicted: soil water content, texture, soil carbon (C), cation exchange capacity, calcium and magnesium (exchangeable), total nitrogen (N), pH, concentration of metals/metalloids, microbial size, and activity. Generally, MIR produced better predictions than Vis-NIR, but Vis-NIR outperformed MIR for a number of properties (e.g., biological). An advantage of Vis-NIR is instrument portability although a new range of MIR portable devices is becoming available. In-field predictions for clay, water, total organic C, extractable phosphorus, total C and N appear similar to laboratory methods, but there are issues regarding, for example, sample heterogeneity, moisture content, and surface roughness.The nature of the variable being predicted, the quality and consistency of the reference laboratory methods, and the adequate representation of unknowns by the calibration set must be considered when predicting soil properties using reflectance spectroscopy.
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Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
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Organic matter and water-stable aggregates in soils
TISDALL, J. M., & OADES, J. M. (1982) · Journal of Soil Science · doi:10.1111/j.1365-2389.1982.tb01755.x · Cited by 6,267
Islam, K., Singh, B., & McBratney, A. (2003) · Australian Journal of Soil Research · doi:10.1071/sr02137 · Cited by 373
Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)
Cécillon, L., Barthès, B. G., Gomez, C., Ertlen, D., Genot, V., Hedde, M., Stevens, A., & Brun, J. J. (2009) · European Journal of Soil Science · doi:10.1111/j.1365-2389.2009.01178.x · Cited by 247
GISQ, a multifunctional indicator of soil quality
Velasquez, E., Lavelle, P., & Andrade, M. (2007) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2007.06.013 · Cited by 240
Cited by
Ng, W., Minasny, B., Montazerolghaem, M., Padarian, J., Ferguson, R., Bailey, S., & McBratney, A. B. (2019) · Geoderma · doi:10.1016/j.geoderma.2019.06.016 · Cited by 466
Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review
Angelopoulou, T., Tziolas, N., Balafoutis, A., Zalidis, G., & Bochtis, D. (2019) · Remote Sensing · doi:10.3390/rs11060676 · Cited by 382
Horta, A., Malone, B., Stockmann, U., Minasny, B., Bishop, T. F. A., McBratney, A. B., Pallasser, R., & Pozza, L. (2015) · Geoderma · doi:10.1016/j.geoderma.2014.11.024 · Cited by 306
Zheng, X., Xu, W., Dong, J., Yang, T., Shangguan, Z., Qu, J., Li, X., & Tan, X. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.129557 · Cited by 269
Dong, X., Guan, T., Li, G., Lin, Q., & Zhao, X. (2016) · Journal of Soils and Sediments · doi:10.1007/s11368-015-1338-5 · Cited by 152
Metadata
- Authors
- Soriano-Disla, J. M., Janik, L. J., Viscarra Rossel, R. A., Macdonald, L. M., & McLaughlin, M. J.
- Venue
- Applied Spectroscopy Reviews
- Publisher
- Informa UK Limited
- Published
- 2013-08-12
- Volume
- 49
- Issue
- 2
- Pages
- 139-186
- ISSN
- 0570-4928 (ISSN-L)
- 1520-569X
- OpenAlex
- W2001804870
- Cited by
- 848
- References
- 5
- FWCI
- 27.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- Soriano-Disla, J. M., Janik, L. J., Viscarra Rossel, R. A., Macdonald, L. M., & McLaughlin, M. J. (2014). The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties. Applied Spectroscopy Reviews. https://doi.org/10.1080/05704928.2013.811081
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.