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Quantification of Agricultural In-Situ Surface Soil Moisture Content Using Near Infrared Diffuse Reflectance Spectroscopy: A Comparison of Modeling Methods

文献类型： 外文期刊

作者： Wu Yong-feng 1 ; Dong Yi-wei 1 ; Hu Xin 2 ; Lu Guo-hua 1 ; Ren De-chao 2 ; Song Ji-qing 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Key Lab Agr Environm, Minist Agr, Beijing 100081, Peoples R China

2.Shangqiu Acad Agr & Forestry Sci, Wheat Res Lab, Shangqiu 476000, Peoples R China

关键词： At field scale;In situ;Near infrared diffuse reflectance spectroscopy;Volumetric moisture content;Quantification models

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2015 年 35 卷 12 期

页码：

收录情况： SCI

摘要： At field scale, surface soil had special characteristics of volumetric moisture content (VMC) with a relatively little difference and spatial heterogeneity induced by physical and chemical properties, roughness, straw residues, etc. It has been a great challenge for near infrared diffuse reflectance spectroscopy (NIR-DRS) measurement of surface soil moisture in situ. In this study, exonential decay models based on seven water-related wavelengths (1 200, 1 400, 1 450, 1 820, 1 940, 2 000 and 2 250 rim), linear models of normalized difference soil moisture index (NSMI) and relative absorption depth (RAD) based on wavelength combinations, linear or quadratic model of width of the inflection (sigma), center amplitude of the function (R-d) and area under the Gaussian curve (A) from soil moisture Gaussian model (SMGM), and partial least square (PLS) regression models based on bands were used to quantify VMC. The results indicated that (1) of all the single wavelengths, 2 000 nm showed the best validation result, indicated by the lowest RMSEp (2. 463) and the highest RPD value (1. 060). (2) Comparing with RAD, the validation of NSMI was satisfactory with higher R-2 (0. 312), lower RMSEp (2. 133) and higher RPD value (1. 224). (3) In the validation results of SMGM parameters and PLS fitting, Rd was found to produce the best fitting quality identified by the highest R-2 (0. 253), the lowest RMSEp (2. 222), and the highest RPD value (1. 175). (4) Comprehensively, a linear model based on NSMI showed the highest validation accuracy of all the methods. What is more, its calculation process is simple and easy to operate, and therefore become the preferred method to quantify surface soil moisture content in situ.

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