Hyperspectral detection model for soil dispersion in Zhouqu Debris Flow Source Region | |
Wang, Qin-Jun1; Wei, Yong-Ming1; Chen, Yu1; Chen, Jia-Ge1; Lin, Qi-Zhong1 | |
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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论