Study on Estimation of Deserts Soil Total Phosphorus Content by Vis-NIR Spectra with Variable Selection

In this paper, 300 samples of desert soil collected in the Ebinur Lake Wetland Nature Reserve of Xinjiang were used as the research subject, and the visible/near-infrared spectra data about the soil obtained with the ASD Field Spec 3 HR spectrometer and the data about total phosphorus in the soil ob...

Full description

Saved in:
Bibliographic Details
Published inGuang pu xue yu guang pu fen xi Vol. 36; no. 3; p. 691
Main Authors Yang, Ai-xia, Ding, Jian-li, Li, Yan-hong, Deng, Kai
Format Journal Article
LanguageChinese
Published China 01.03.2016
Online AccessGet more information

Cover

More Information
Summary:In this paper, 300 samples of desert soil collected in the Ebinur Lake Wetland Nature Reserve of Xinjiang were used as the research subject, and the visible/near-infrared spectra data about the soil obtained with the ASD Field Spec 3 HR spectrometer and the data about total phosphorus in the soil obtained through chemical analysis were used as the data sources; following Savizky-Golay smoothing, standard normal variation transformation and the first-order differential pretreatment, the combination of ant colony optimization interval partial least squares (ACO-iPLS) and genetic algorithm interval partial least squares (GA-iPLS) were employed to extract the characteristic wavelengths of the total phosphorus content in desert soil, before the partial least squares regression model for predicting the total-phosphorus content in soil was constructed; and this model was compared with the full-spectrum partial least squares model, ACO-iPLS and GA-iPLS. According to the results: through filte- ring with ACO-iPLS, the
ISSN:1000-0593
DOI:10.3964/j.issn.1000-0593(2016)03-0691-06