Retrieval of Soil Dispersion Using Hyperspectral Remote Sensing
文献类型：期刊论文
| 作者 | Chen, Jia-ge1; Chen, Jun1; Wang, Qin-jun1; Zhang, Yue1; Ding, Hai-feng1; Huang, Zhang1 |
| 刊名 | JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 44期号:4页码:563-572 |
| 关键词 | RANDOM SAMPLE CONSENSUS REGRESSION |
| 通讯作者 | Chen, JG (reprint author), Beijing Normal Univ, Beijing, Peoples R China. ; Chen, JG (reprint author), Natl Geomat Ctr China, Beijing, Peoples R China. |
| 英文摘要 | The aim of this study was to study the main determinants of soil dispersion, such as Na+, pH, kaolinite, illite and montmorillonite clay content, by grey relational analysis. Multiple linear regression and partial least squares regression were applied to establish correlations between soil dispersion and its main determinants. Raw spectra (or raw reflectance; RR) of 50 soil samples was measured between 350 and 2500 nm. Continuum-removal (CR) spectral reflectance was calculated. Relationships of Na+, pH, kaolinite, illite and montmorillonite clay content with spectral reflectance were constructed to find sensitive spectral bands and the best spectral indices. Multiple stepwise regression was used to calculate five determinants from hyperspectral reflectance. Models were evaluated by the determinant (R-2), root mean square error, and relative root mean square error. Sensitive wavelengths were chosen based on the highest positive and negative correlations between five determinants and RR or CR reflectance. Results indicated that with the highest R-2 (0.686), the multiple linear regression model was the best for the prediction of soil dispersion using spectral reflectance. According to R-2 values, CR reflectance was the best predictor of Na+ (0.725), pH (0.852), kaolinite (0.909), illite (0.923) and montmorillonite (0.876). In conclusion, the methods examined here offered quick and novel means of predicting soil dispersion using spectral reflectance data. |
| 学科主题 | Environmental Sciences & Ecology; Remote Sensing |
| 类目[WOS] | Environmental Sciences ; Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000379742400008 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39512]  |
| 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.Beijing Normal Univ, Beijing, Peoples R China 2.Natl Geomat Ctr China, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Jia-ge,Chen, Jun,Wang, Qin-jun,et al. Retrieval of Soil Dispersion Using Hyperspectral Remote Sensing[J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,2016,44(4):563-572. |
| APA | Chen, Jia-ge,Chen, Jun,Wang, Qin-jun,Zhang, Yue,Ding, Hai-feng,&Huang, Zhang.(2016).Retrieval of Soil Dispersion Using Hyperspectral Remote Sensing.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,44(4),563-572. |
| MLA | Chen, Jia-ge,et al."Retrieval of Soil Dispersion Using Hyperspectral Remote Sensing".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 44.4(2016):563-572. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
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。