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Combining Vis–NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction

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DOI

  • Fatemeh Mousavi, University of Tehran
  • ,
  • Ehsan Abdi, University of Tehran
  • ,
  • Maria Knadel
  • Markus Tuller, University of Arizona
  • ,
  • Abbas Ghalandarzadeh, University of Tehran
  • ,
  • Hossein Ali Bahrami, Tarbiat Modarres University
  • ,
  • Baris Majnounian, University of Tehran

A thorough quantification of soil chemical properties is essential for assessing the engineering properties of forest soils for road design, construction, and maintenance. Here, we investigate the applicability of visible–near-infrared (Vis–NIR) spectroscopy in conjunction with advanced statistical analysis for estimation of soil chemical properties. Sixty forest soil samples were collected and analyzed for pH, electrical conductivity (EC), CaCO3, organic matter (OM), and cation exchange capacity (CEC) with established laboratory methods. The spectral measurements were performed with a Vis–NIR spectrometer within a range of 350–2,500 nm. To estimate abovementioned soil properties from reflectance spectra, advanced statistical techniques including partial least squares regression (PLSR), hybrid partial least squares and artificial neural networks (PLS–DI–ANN) models, hybrid partial least squares and adaptive neural fuzzy inference system (PLS–DI–ANFIS) models, as well as narrow band spectral indices were applied. The obtained results ​​indicate that the PLS–DI–ANFIS models show great potential for the estimation of pH, EC, OM, and CEC from reflectance spectra and their first derivatives, exhibiting higher R2 values and lower RMSE than the other investigated models. The estimation accuracy for CaCO3, however, was low for all applied methods. The results confirm that Vis–NIR spectroscopy may be applied as a rapid and cost-efficient alternative to standard chemical soil analysis techniques, aiding forest road design, construction, and maintenance.

OriginalsprogEngelsk
TidsskriftSoil Science Society of America Journal
Vol/bind85
Nummer4
Sider (fra-til)1073-1090
Antal sider18
ISSN0361-5995
DOI
StatusUdgivet - jul. 2021

Bibliografisk note

Funding Information:
The authors would like to thank the two anonymous reviewers for their detailed comments and suggestions that resulted in improving this work.

Publisher Copyright:
© 2021 The Authors. Soil Science Society of America Journal © 2021 Soil Science Society of America

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