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Proceedings Paper

Visible-near infrared reflectance spectroscopy for estimating soil total nitrogen contents in the Sanjiang Yuan Regions, China: a case study of Yushu County and Maduo County, Qinghai province
Author(s): Xiaohong Gao; Yang Yang; Wei Zhang; Wei Jia; Jianshan Li; Chengming Tian; Yanjiao Zhang; Linhua He
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Paper Abstract

The objective of this paper was to evaluate the prediction ability of visible and near-infrared reflectance spectroscopy(VNIRP) to estimate soil total nitrogen concentration (TN) in the Sanjiang Yuan regions, Qinghai province, China by using partial least squares regression (PLSR) method. A total of 149 soil samples (0-30cm) were collected respectively from Yushu county and Maduo county in August 2012. The soil total nitrogen concentrations were measured using Vario EL Ⅲ elemental analyzer (Germany Elementar Inc), and the soil spectral reflectance of with spectral range 350-2500nm was measured using ASD FieldSpec 4 in the laboratory. PLSR model was used to relate the reflectance spectra and its five different pre-processing transformations including the first order derivative reflectance (FDR), the second order derivative reflectance(SDR), the logarithm of the inverse of the reflectance (Log (1/R)), the depth of the band (Band depth) and the first order derivative of the logarithm of reflectance (( Log R)′) to the soil total nitrogen contents measured. The results showed that the combination of visible-near infrared reflectance spectroscopy and PLSR to estimate TN produced a good prediction ability with R2 < 0.76 and RPD < 2.01 in the Sanjiang Yuan regions. The best prediction ability was obtained by (Log R) ' with R2CV = 0.87, R2V =0.88 and RPD <2.67, followed by Log (1/R), Band Depth, SDR, FDR and Reflectance. Visible and near infrared spectroscopy provided a rapid and effective method for estimating soil TN from five different soil types in the Sanjiang Yuan Regions, Qinghai province.

Paper Details

Date Published: 18 November 2014
PDF: 12 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92631O (18 November 2014); doi: 10.1117/12.2069107
Show Author Affiliations
Xiaohong Gao, Qinghai Normal Univ. (China)
Yang Yang, Qinghai Normal Univ. (China)
Wei Zhang, Qinghai Normal Univ. (China)
Wei Jia, Qinghai Normal Univ. (China)
Jianshan Li, Qinghai Normal Univ. (China)
Chengming Tian, Qinghai Normal Univ. (China)
Yanjiao Zhang, Qinghai Normal Univ. (China)
Linhua He, Qinghai Normal Univ. (China)

Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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