Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs13193974 |
Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives | |
Tian, Anhong; Zhao, Junsan; Tang, Bohui; Zhu, Daming; Fu, Chengbiao; Xiong, Heigang![]() | |
通讯作者 | Zhao, JS (corresponding author), Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China. |
来源期刊 | REMOTE SENSING
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EISSN | 2072-4292 |
出版年 | 2021 |
卷号 | 13期号:19 |
英文摘要 | Soluble salts in saline soil often exist in the form of salt base ions, and excessive water-soluble base ions can harm plant growth. As one of the water-soluble base ions, Na+ ion, is the main indicator of the degree of soil salinization. The pretreatment of visible, near infrared and short-wave infrared (VNIR-SWIR) spectroscopy data is the key to establishing a high-precision inversion model, and a proper pretreatment method can fully extract the effective information hidden in the hyperspectral data. Meanwhile, different degrees of human activity stress will have an impact on the ecological environment of oases. However, there are few comparative analyses of the data pretreatment effects for soil water-soluble base ions on the environment under different human interference conditions. Therefore, in this study, the difference in the degree of soil disturbance caused by human activities was used as the basis for dividing the experimental area into lightly disturbed area (Area A), moderately disturbed area (Area B) and severely disturbed zone (Area C). The Grunwald-Letnikov fractional-order derivative (FOD) was used to preprocess the VNIR-SWIR spectroscopic data measured by a FieldSpec (R) 3Hi-Res spectrometer, which could fully extract the useful information hidden in the FOD of the VNIR-SWIR spectroscopy results and avoid the loss of information caused by the traditional integer-order derivative (1.0-order, 2.0-order) pretreatment. The spectrum pretreatment was composed of five transform spectra (R, R, 1/R, lgR, 1/lgR) and 21 FOD methods (step size is 0.1, derivative range is from 0.0- to 2.0-order). In addition, this manuscript compares and analyzes the pretreatment advantages between fractional-order and integer-order. The main results were as follows: (1) Grunwald-Letnikov FOD can reveal the nonlinear characteristics and variation laws of the field hyperspectral of saline soil, namely, due to the continuous performance of the order selection, the FOD accurately depicts the details of spectral changes during the derivation process, and improves the resolution between the peaks of the hyperspectral spectrum. (2) There is a big difference in the shape of the correlation coefficient curve between the original hyperspectral and Na+ at different FOD. The correlation coefficient curve has a clear outline in rang of the 0.0- to 0.6-order, and the change trend is gentle, which presents a certain gradual form. With the continuous increase of the order of the FOD, the change range of the correlation coefficient curve is gradually increased, and the fluctuation is greater between the 1.0-order and the 2.0-order. (3) Regardless of the transformation spectrum and different interference regions, the improvement effect of the FOD on the correlation between hyperspectral and Na+ is significantly better than that of the integer-order derivative. Comparative analysis shows that he percentage of increase of the former is more than 3%, and the highest is more than 17%. |
英文关键词 | Grunwald-Letnikov fractional-order derivative (FOD) hyperspectral resolution correlation different degrees of human activity stress pretreatment |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000709432900001 |
WOS关键词 | SALT-AFFECTED SOIL ; REFLECTANCE SPECTROSCOPY ; QUANTITATIVE-ANALYSIS ; EQUATIONS ; SALINITY ; INTEGER |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | 新疆大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/368401 |
作者单位 | [Tian, Anhong; Fu, Chengbiao] Qujing Normal Univ, Coll Informat Engn, Qujing 655011, Peoples R China; [Tian, Anhong; Zhao, Junsan; Tang, Bohui; Zhu, Daming; Fu, Chengbiao] Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China; [Xiong, Heigang] Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100083, Peoples R China; [Xiong, Heigang] Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China |
推荐引用方式 GB/T 7714 | Tian, Anhong,Zhao, Junsan,Tang, Bohui,et al. Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives[J]. 新疆大学,2021,13(19). |
APA | Tian, Anhong,Zhao, Junsan,Tang, Bohui,Zhu, Daming,Fu, Chengbiao,&Xiong, Heigang.(2021).Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives.REMOTE SENSING,13(19). |
MLA | Tian, Anhong,et al."Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives".REMOTE SENSING 13.19(2021). |
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