14 May 2014 Retrieving model of soil organic matter and soil mechanical composition by using measured spectra data
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Proceedings Volume 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China; 91580N (2014) https://doi.org/10.1117/12.2064062
Event: Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 2012, Wuhan, China
Abstract
Soil organic matter(SOM) is an important composition of soil. Soil mechanical composition determines soil physical properties. Retrieving soil organic matter and mechanical components by remote sensing is an important research content of soil remote sensing. In this study soil spectra data are measured in Duolun county in the Inner Mongolia autonomous region, in China. Based on statistical analysis of soil reflection spectra characteristics, 12 high spectral indexes, including soil reflectance, reflectance ratio and normalized difference soil index(NDSI), were constructed for building inversion models of soil organic matter , total nitrogen (TN), soil mechanical composition Firstly, calculating correlation coefficient between 12 high spectral indexes and soil organic matter, total nitrogen, soil mechanical composition, then choosing high spectral indexes whose absolute values of correlation coefficient greater than 0.5, finally by using linear regression analysis method were biult inversion models of soil composition parameters. With the help of comprehensive analysis, eliminating poor quality models, finally are established inversion model of part of soil composition parameters, including SOM, TN, P(2-0.2), P(0.2-0.02), P(<0.002) etc. In view of total salt factor, P(>2) factor and P(0.02-0.002) factor, this study failed to obtain a satisfactory inversion model. Limits on the number of samples may be an important influence factors. Research shows that in the study area there are 3 types of soil spectral curve. Between bow area of soil reflection spectrum and soil organic matter, total nitrogen and soil mechanical composition there are a deterministic relationship, and the deterministic relationship can be described. In this study, NDSI as high spectral characteristic index is one of the most successful index for retrieving satisfactory model. The position of 2 characteristic wavelength in NDSI is determined according to analyzing feature of bow area of the soil reflection spectrum. The position of 2 characteristic wavelength just reflects differences between different types of soil. Research shows that the NDSI in process of retrieving soil compositions has great application potential. Can be expected application of similar model in inversion model study by using hyperspectral remote sensing or multispectral remote sensing.
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Bengyu Wang, Bengyu Wang, Lina Bai, Lina Bai, Zhihai Gao, Zhihai Gao, Hongyan Wang, Hongyan Wang, Junjun Wu, Junjun Wu, Zhibo Wang, Zhibo Wang, Bin Sun, Bin Sun, } "Retrieving model of soil organic matter and soil mechanical composition by using measured spectra data", Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580N (14 May 2014); doi: 10.1117/12.2064062; https://doi.org/10.1117/12.2064062
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