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Visible-Near Infrared Reflectance Spectroscopy for Rapid Characterization of Salt-Affected Soil in the Indo-Gangetic Plains of Haryana, India

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Abstract

Management of salt-affected soils is a challenging task in the input intensive rice-wheat cropping zone of the Indo-Gangetic plains (IGP). Timely detection of salt-affected areas and assessment of the degree of severity are vital in order to narrow down the potential gap in yield. Conventional laboratory techniques of saturation extract electrical conductivity (ECe) and sodium adsorption ration (SAR) for soil salinity assessment are time-consuming and labour intensive; the VNIR (visible-near infrared) reflectance spectroscopy technique provides ample information on salinity and its attributes in an efficient and cost-effective way. This study aims to develop robust soil reflectance spectral models for rapid assessment of soil salinity in the salt affected areas of the IGP region of Haryana using VNIR reflectance spectroscopy. The results indicated that the spectral region between 1390 and 2400 nm was highly sensitive to measure changes in salinity. The developed hyperspectral models explained more than 80 % variability in ECe, and other salinity related attributes (saturated extract Na+, Ca2+ + Mg2+, Cl and SAR) in the validation datasets. With the increasing availability of data from hyperspectral sensors in near future, the study will be very useful in real time monitoring of soils in the spatio-temporal context; enabling the farmers of IGP area to deal with salt degradation more effectively and efficiently.

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References

  • Ben-dor, E., & Banin, A. (1995). Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties. Soil Science Society of America Journal, 59, 364–372.

    Article  Google Scholar 

  • Ben-Dor, E., Patkin, K., Banin, A., & Karnieli, A. (2002). Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel. International Journal of Remote Sensing, 23(6), 1043–1062.

    Article  Google Scholar 

  • Brown, D. J., Shepherd, K. D., Walsh, M. G., Dewayne Mays, M., & Reinsch, T. G. (2006). Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma, 132(3–4), 273–290.

    Article  Google Scholar 

  • Chang, C. W., Laird, D. A., Mausbach, M. J., & Hurburgh, C. R. (2001). Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties. Soil Science Society of America Journal, 65(2), 480–490.

    Article  Google Scholar 

  • Cheng Kuang, L. U., & Bray, R. H. (1951). Determination of calcium and magnesium in soil and plant material. Soil Science, 72(6), 449–458.

    Article  Google Scholar 

  • Chesnin, L., & Yien, C. H. (1951). Turbidimetric determination of available sulphates. Soil Science Society of America Journal, 15(c), 149–151.

    Article  Google Scholar 

  • Crowley, J. K. (1991). Visible and near-infrared (0.4–2.5 μm) reflectance spectra of playa evaporite minerals. Journal of Geophysical Research, 96(B10), 16231–16240.

    Article  Google Scholar 

  • Drake, N. A. (1995). Reflectance spectra of evaporite minerals (400–2500 nm): application for remote sensing. International Journal of Remote Sensing, 16(14), 2555–2571.

    Article  Google Scholar 

  • Farifteh, J., Bouma, A., & Van Der Meijde, M. (2004). A new approach in the detection of salt affected soils; integrating surface and sub-surface measurements. Poster presented at “Near surface 2004”, 10th EAGE European Meeting of Environmental and Engineering Geophysics, Utrecht, The Netherlands.

  • Farifteh, J., Farshad, A., & George, R. J. (2006). Assessing salt-affected soils using remote sensing, solute modelling, and geophysics. Geoderma, 130(3–4), 191–206.

    Article  Google Scholar 

  • Farifteh, J., Van Der Meer, F., Atzberger, C., & Carranza, E. J. M. (2007). Quantitative analysis of salt affected soil reflectance spectra: a comparison of two adaptive methods (PLSR and ANN). Remote Sensing of Environment, 110(1), 59–78.

    Article  Google Scholar 

  • Farifteh, J., Van Der Meer, F., Van Der Meijde, M., & Atzberger, C. (2008). Spectral characteristics of salt-affected soils: a laboratory experiment. Geoderma, 145(3–4), 196–206.

    Article  Google Scholar 

  • Howari, F. M., Goodell, P. C., & Miyamoto, S. (2002). Spectral properties of salt crusts formed on saline soils. Journal of Environmental Quality, 31(5), 1453–1461.

    Article  Google Scholar 

  • Hunt, G. R. (1982). Spectroscopic Properties of Rocks and Minerals. In: Handbook of Physical Properties of Rocks. Boca Raton, FL: CRC Press.

  • Levene, H. (1960). Robust tests for equality of variances. In: Contributions to probability and statistics: Essays in honor of Harold Hotelling. Stanford, California: Stanford University Press.

  • Metternicht, G., & Zinck, J. A. (2008). Remote sensing of soil salinization: impact on land management. Boca Raton: CRC Press.

    Book  Google Scholar 

  • Richards, L. A. (1954). Diagnosis and improvement of saline and saline and alkali soils (agricultural handbook No (60)). Washington, DC: US Department of Agriculture, US Government Printing Office.

    Google Scholar 

  • Savitzky, A., & Golay, M. J. E. (1964). Smoothing and differentiation of data by simplified least squares procedure. Analytical Chemistry, 36(8), 1627–1639.

    Article  Google Scholar 

  • Shepherd, K. D., & Walsh, M. G. (2002). Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal, 66(3), 988–998.

    Article  Google Scholar 

  • Srivastava, R., Prasad, J., & Saxena, R. K. (2004). Spectral reflectance properties of some swell-shrink soils of Central India as influenced by soil properties. Agropedology, 14(1), 45–54.

    Google Scholar 

  • Srivastava, R., Sarkar, D., Mukhopadhayay, S. S., Sood, A., Singh, M., Nasre, R. A., & Dhale, S. A. (2015). Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the indo-gangetic plains of Punjab, India. Journal of the Indian Society of Remote Sensing, 43(4), 751–759.

    Article  Google Scholar 

  • Summers, D., Lewis, M., Ostendorf, B., & Chittleborough, D. (2011). Visible near-infrared reflectance spectroscopy as a predictive indicator of soil properties. Ecological Indicators, 11, 123–131.

    Article  Google Scholar 

  • Van Reeuwijk, L. P. (1993). Procedures for soil analysis. Technical paper No. 9. Wangeningen: International Soil Reference and Information Centre (ISRIC).

    Google Scholar 

  • Verma, K. S., Saxena, R. K., Barthwal, A. K., & Deshmukh, S. N. (1994). Remote sensing technique for mapping salt affected soils. International Journal of Remote Sensing, 15(9), 1901–1914.

    Article  Google Scholar 

  • Viscarra Rossel, R. A., Walvoort, D. J. J., Mcbratney, A. B., Janik, L. J., & Skjemstad, J. O. (2006). Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma, 131(1–2), 59–75.

    Article  Google Scholar 

  • Wold, S., Sjöström, M., & Eriksson, L. (2001). PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58(2), 109–130.

    Article  Google Scholar 

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Acknowledgments

The authors acknowledge the assistance rendered by the World Bank through the National Agriculture Innovation Project of the Indian Council of Agricultural Research, New Delhi. The work reported here was conducted as a part of sub-project entitled “Development of spectral reflectance methods and low cost sensors for real-time application of variable rate inputs in precision farming”. The help and cooperation received from the farmers during soil sample collection are gratefully acknowledged.

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Correspondence to Rajeev Srivastava.

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Srivastava, R., Sethi, M., Yadav, R.K. et al. Visible-Near Infrared Reflectance Spectroscopy for Rapid Characterization of Salt-Affected Soil in the Indo-Gangetic Plains of Haryana, India. J Indian Soc Remote Sens 45, 307–315 (2017). https://doi.org/10.1007/s12524-016-0587-0

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  • DOI: https://doi.org/10.1007/s12524-016-0587-0

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