In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai-Tibet Plateau

被引:103
作者
Li, Shuo [1 ]
Shi, Zhou [1 ]
Chen, Songchao [1 ]
Ji, Wenjun [1 ]
Zhou, Lianqing [1 ]
Yu, Wu [2 ]
Webster, Richard [3 ]
机构
[1] Zhejiang Univ, Coll Environm & Resource Sci, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Zhejiang, Peoples R China
[2] Tibet Univ, Coll Resource & Environm, Nyingchi 860114, Peoples R China
[3] Rothamsted Res, Harpenden AL5 2JQ, Herts, England
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
NEAR-INFRARED SPECTROSCOPY; REFLECTANCE SPECTROSCOPY; SPECTRAL LIBRARY; CLAY CONTENT; PREDICTION; CLIMATE; SCALE;
D O I
10.1021/es504272x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We wish to estimate the amount of carbon (C) stored in the soil at high altitudes, for which there is little information. Collecting and transporting large numbers of soil samples from such terrain are difficult, and we have therefore evaluated the feasibility of scanning with visible near-infrared (vis-NIR) spectroscopy in situ for the rapid measurement of the soil in the field. We took 28 cores (approximate to 1 m depth and 5 cm diameter) of soil at altitudes from 2900 to 4500 m in the Sygera Mountains on the Qinghai-Tibet Plateau, China. Spectra were acquired from fresh, vertical faces 5 x 5 cm in area from the centers of the cores to give 413 spectra in all. The raw spectra were pretreated by several methods to remove noise, and statistical models were built to predict of the organic C in the samples from the spectra by partial least-squares regression (PLSR) and least-squares support vector machine (LS-SVM). The bootstrap was used to assess the uncertainty of the predictions by the several combinations of pretreatment and models. The predictions by LS-SVM from the field spectra, for which R-2 = 0.81, the root-mean-square error RMSE = 8.40, and the ratio of the interquartile distance RPIQ = 2.66, were comparable to the PLSR predictions from the laboratory spectra (R-2 = 0.85, RMSE = 7.28, RPIQ = 3.09). We conclude that vis-NIR scanning in situ in the field is a sufficiently accurate rapid means of estimating the concentration of organic C in soil profiles in this high region and perhaps elsewhere.
引用
收藏
页码:4980 / 4987
页数:8
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