Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region

	Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region
	Wang, Qin-Jun 1; Wei, Yong-Ming 1; Chen, Yu 1; Chen, Jia-Ge 1; Lin, Qi-Zhong 1
刊名	Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
	2016
卷号	36 期号:2 页码:502-510
关键词	TECHNOLOGY
通讯作者	Chen, Yu (yuchen@ceode.ac.cn)
英文摘要	Sensitive band positions, models and the principles of soil dispersion detected by hyperspectral remote sensing were firstly discussed according to the results of soil dispersive hyperspectral remote sensing experiment. Results showed that, (1) signals and noises could be separated by Fourier transformation. A finely mineral identification system was developed to remove spectral noises and provide highly accurate data for establishing soil dispersive model; (2) Soil dispersive hyperspectral remote sensing model established by the multiple linear regression method was good at soil dispersion forecasting for the high correlation between sensitive bands and the soil dispersions. (3) According to mineral spectra, soil minerals and their absorbed irons were reflected by sensitive bands which revealed reasons causing soils to be dispersive. Sodium was the closest iron correlated with soil dispersion. The secondary was calcite, montmorillonite and illite. However, the correlation between soil dispersion and chlorite, kaolinite, PH value, quartz, potassium feldspar, plagioclase was weak. The main reason was probably that sodium was low in ionic valence, small ionic radius and strong hydration forces; calcite was high water soluble and illite was weak binding forces between two layers under high pH value. © 2016, Peking University Press. All right reserved.
学科主题	Spectroscopy
类目[WOS]	Spectroscopy
收录类别	SCI ; EI
语种	中文
WOS记录号	WOS:20161102109681
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39406]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. Key Laboratory of the Earth Observation of Hainan Province, Institute of Remote Sensing for Chinese Sciences, Sanya, China 3. Shandong University of Science and Technology, Qingdao, China
推荐引用方式 GB/T 7714	Wang, Qin-Jun,Wei, Yong-Ming,Chen, Yu,et al. Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region[J]. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,2016,36(2):502-510.
APA	Wang, Qin-Jun,Wei, Yong-Ming,Chen, Yu,Chen, Jia-Ge,&Lin, Qi-Zhong.(2016).Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region.Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,36(2),502-510.
MLA	Wang, Qin-Jun,et al."Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region".Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis 36.2(2016):502-510.