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Eurasian Journal of Soil Science

Volume 3, Issue 3, Nov 2014, Pages 163 - 171

DOI: 10.18393/ejss.69645

Stable URL: https://ejss.fesss.org/manuscript.php?id=83

Copyright © 2014 The authors and Federation of Eurasian Soil Science Societies

Spectral estimation of soil water content in visible and near infra-red range

Attila Nagy ✉ , Péter Riczu , Bernadett Gálya , János Tamás

Article first published online: 25 Ekim 2014 · How to cite

Abstract

Soils can be examined on the basis of spectral data, using such methods with which the reflected radiation can be divided into a large number of (several hundreds) small spectral channel (some nm). Based on the spectral characteristics of the soils, or the different index numbers calculated from hyperspectral data water content of soils can be well characterized. The examined soil samples were coming from different apple orchards of which soils had different physical characteristics (sandy loamy and clay). The goals of my experiments were the evaluation of spectral measurement method for soil content detection, and to carry out algorithms for fast field scale spectral evaluation of different soil water content. The spectral measuring was carried out by laboratory scale AvaSpec 2048 spectrometer at 400 – 1000 nm wavelength interval with 0.6 nm spectral resolutions and by ASD FieldSpec Junior at 350 – 2500 nm. After drying, dry soil samples were watered by 2.5 m/m% till maximal saturation, and each wetting was measured spectrally. Based on spectral properties, reflectances were decreased in the whole spectral range within the continuous wetting due to the high absorption characteristics of water. The most water sensitive spectral ranges were selected by principal component, and such algorithms were created, with which the water content can be detectable in the certain soil. The algorithms can facilitate farmers for irrigation scheduling of their orchards. These results can also be utilizable in precision water management, since it can be a basis for such integrated active sensors with LED or laser light source, measuring reflectance at the certain spectral range, which can facilitate real time water status assessment of orchards.

Keywords

Spectral index, soil moisture, reflectance

How to cite

Nagy, A., Riczu, P., Gálya, B., Tamás, J., 2014. Spectral estimation of soil water content in visible and near infra-red range. Eurasian J. Soil Sci. 3(3): 163 - 171. DOI : 10.18393/ejss.69645

Citation Styles

CLASSICAL

Nagy, A., Riczu, P., Gálya, B., Tamás, J., 2014. Spectral estimation of soil water content in visible and near infra-red range. Eurasian J. Soil Sci. 3(3): 163 - 171. DOI : 10.18393/ejss.69645

APA

Nagy, A., Riczu, P., Gálya, B., & Tamás, J. (2014). Spectral estimation of soil water content in visible and near infra-red range Eurasian Journal of Soil Science, 3(3): 163 - 171. DOI : 10.18393/ejss.69645

MLA

Nagy, A., Riczu, P., Gálya, B., and Tamás, J. "Spectral estimation of soil water content in visible and near infra-red range" Eurasian Journal of Soil Science, 3.3 (2014) DOI : 10.18393/ejss.69645

TURABIAN

Nagy, A., Riczu, P., Gálya, B., and Tamás, J. "Spectral estimation of soil water content in visible and near infra-red range" Eurasian Journal of Soil Science, 3(Nov 2014):163 - 171 DOI : 10.18393/ejss.69645

IEEE

A. Nagy., P. Riczu., B. Gálya., J. Tamás. "Spectral estimation of soil water content in visible and near infra-red range" Eurasian J. Soil Sci., vol. 3, no. 3, pp. 163 - 171 (Nov 2014) DOI : 10.18393/ejss.69645

ISO690

NAGY, Attila ; RICZU, Péter ; GÁLYA, Bernadett ; TAMÁS, János Spectral estimation of soil water content in visible and near infra-red range. Eurasian Journal of Soil Science, (2014), 3.3:163 - 171.DOI : 10.18393/ejss.69645

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Author Information

  • Attila Nagy
  • Péter Riczu
  • Bernadett Gálya
  • János Tamás

Publication Information

  • Issue published online: 05 Kasım 2014
  • Article first published online: 25 Ekim 2014
  • Manuscript Accepted: 14 Ekim 2014
  • Manuscript Received: 01 Temmuz 2014
  • DOI: 10.18393/ejss.69645
  • Stable URL: https://ejss.fesss.org/manuscript.php?id=83