Analysis of soil phosphorus concentration based on Raman spectroscopy

Lihua Zheng, Won Suk Lee, Minzan Li, Anurag Katti, Ce Yang, Han Li, Hong Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Raman spectra signature can provide structural information based on vibrational transitions of irradiated molecules. In this work, the quantity reflecting mechanism of soil phosphorus concentration was studied based on Raman spectroscopy. 15 sand soil samples with different phosphate content were made in laboratory and the Raman signatures were measured. The relationship between sand soil Phosphorus concentration and soil Raman spectra was explored. Then the effective Raman signal was extracted from the original Raman spectra by using bior4.4 wavelet packet. The relationship between sand soil phosphorus and their extracted signals was analyzed and the PLS (Partial Least Squares) model for predicting phosphorus concentration in the soil was established and compared. The maximum accuracy model comes from the extracted effective Raman spectra after the first level decomposing. The calibration R2 was close to 1 and the validation R2 reached to 0.937. It showed high potential in soil phosphorus detecting by using Raman spectroscopy.

Original languageEnglish (US)
Title of host publicationMultispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV
PublisherSPIE
Volume8527
ISBN (Print)9780819492661
DOIs
StatePublished - Jan 1 2012
EventMultispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV Conference - Kyoto, Japan
Duration: Oct 30 2012Oct 31 2012

Other

OtherMultispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV Conference
CountryJapan
CityKyoto
Period10/30/1210/31/12

Keywords

  • PLS
  • Phosphorus concentration
  • Predicting model
  • Raman spectroscopy
  • Soil

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