Inversion of Organic Matter Content in Grey Desert Soil of Northern Xinjiang Oasis Farmland Based on Hyper-spectral Data

SHAN Hai-bin, JIANG Ping-an, YAN An, ZHU Lei, GUO Xing
2018 Journal of Agricultural Resources and Environment  
This study aimed to explore a rapid and accurate method for estimating soil organic matter content and promote the process of precision agriculture. In this study, forty-six soil samples were collected from the Northern Xinjiang Oasis farmland in China. The soil organic matter of these samples was determined in laboratory. Meanwhile, the spectral reflectance of samples was measured at the indoor dark environment by the SVC HR-768 hyper-spectral spectrometer. The spectral reflectance data was
more » ... ectance data was transformed to several spectral indices to analyze the relationship with soil organic matter content and extract sensitive bands with correlation analysis. Quantitative inversion model of soil organic matter content was carried out by using the stepwise multiple linear regression. The results indicated that the inversion model was the best when using spectral reflectance logarithm of the first derivate for estimation at bands of 567, 1 697 nm and 2 221 nm. The coefficient of determination was 0.82. The hyper-spectral inversion model of grey desert soil organic matter content of Northern Xinjiang Oasis farmland provides a new approach for rapid soil organic matter monitoring.
doi:10.13254/j.jare.2017.0256 doaj:9d8fcae71fc84a8e95c0431d5a161a7a fatcat:bwmortkgtjdmhenuvfx4amowj4