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Title:Based on the national scale soil spectral database nitrogen content inversion
Author(s):Wang, Qianlong
Subject(s):Biology, natural substances
Abstract:Fully mining the valid information in soil spectral library, establishing a strong universal inversion model to predict soil total nitrogen (TN) content is one of the important applications of high spectral direction. Studies using partial least squares regression (PLSR) global model, locally weighted regression (LWR) and fuzzy K-means clustering methods combined with PLSR (FKMC-PLSR). 1661 soil samples were collected from 13 provinces in China, which include Tibet, Xinjiang, Heilongjiang, and Hainan. The samples represent 17 soil groups of the Chinese Soil (Genetic) Classification System, and Zhejiang province 104 paddy soil samples to predict. The results show that, under the national scale PLSR global model for high TN values underestimated the prevalence of samples to be predicted, resulting in low overall predictive accuracy; LWR (R$^{2}$ = 0.76, RPD$_{P2}$ = 2.1), especially FKMC-PLSR (R$^{2}$ = 0.82, RPD$_{P3}$ = 2.4) than the local model PLSR (R$^{2}$ = 0.64, RPD$_{P1}$ = 1.4) global model can more accurately inversion TN content. The results can take advantage of the national scale to establish stability and universal spectral database higher content of soil TN forecasting model to provide the necessary information.
Issue Date:2014-06-17
Publisher:International Symposium on Molecular Spectroscopy
Citation Info:Wang, Q. BASED ON THE NATIONAL SCALE SOIL SPECTRAL DATABASE NITROGEN CONTENT INVERSION. Proceedings of the International Symposium on Molecular Spectroscopy, Urbana, IL, June 16-21, 2014. DOI: 10.15278/isms.2014.TD13
Genre:Conference Paper / Presentation
Rights Information:Copyright 2014 by the authors. Licensed under a Creative Commons Attribution 4.0 International License.
Date Available in IDEALS:2014-11-21

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