Hyperspectral Soil Dispersion Model for the Source Region of the Zhouqu Debris Flow, Gansu, China | |
Wang, Qinjun1; Wei, Yongming1; Chen, Yu1; Chen, Jiage1; Lin, Qizhong1 | |
刊名 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
2016 | |
卷号 | 9期号:2页码:876-883 |
关键词 | HETEROGENEOUS GRASSLAND CHLOROPHYLL ESTIMATION NARROW-BAND BROAD-BAND LAI BIOMASS CROPS ALGORITHM INVERSION IMAGERY |
通讯作者 | Chen, Yu (chenyu@radi.ac.cn) |
英文摘要 | A new hyperspectral soil dispersion model was established by using multivariable linear regression based on experimentally derived soil dispersion data and hyperspectral field spectra of soil components. The coefficient of determination for the model is 0.8084, which shows that the model effectively reproduced soil dispersion. Those bands that were relevant to soil dispersion included 370, 377, 398, 410, 570, 1918, 1933, 2392, 2401, 2444, and 2448 nm, which identified soil components and their adsorbed ions. The correlation between soil spectral bands and soil components indicates that calcite and clay minerals were the main factors that caused soil to be dispersive because they are easily dissolved in water. This result provides a scientific basis for countering soil dispersion and reducing the occurrence of debris flows. The spectral bands determined by this model may also be relevant to air-or satellite-borne hyperspectral remote sensing in the future. © 2008-2012 IEEE. |
学科主题 | Engineering; Physical Geography; Remote Sensing; Imaging Science & Photographic Technology |
类目[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20154701588396 |
内容类型 | 期刊论文 |
源URL | [http://ir.radi.ac.cn/handle/183411/39283] |
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. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 4. Beijing Normal University, Beijing, China 5. National Geomatics Center of China, Beijing, China |
推荐引用方式 GB/T 7714 | Wang, Qinjun,Wei, Yongming,Chen, Yu,et al. Hyperspectral Soil Dispersion Model for the Source Region of the Zhouqu Debris Flow, Gansu, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2016,9(2):876-883. |
APA | Wang, Qinjun,Wei, Yongming,Chen, Yu,Chen, Jiage,&Lin, Qizhong.(2016).Hyperspectral Soil Dispersion Model for the Source Region of the Zhouqu Debris Flow, Gansu, China.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,9(2),876-883. |
MLA | Wang, Qinjun,et al."Hyperspectral Soil Dispersion Model for the Source Region of the Zhouqu Debris Flow, Gansu, China".IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9.2(2016):876-883. |
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