Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China
文献类型:期刊论文
作者 | LIN Chen ; ZHOU Sheng-lu ; WU Shao-hua ; ZHU Qing ; DANG Qi |
刊名 | Journal of Mountain Science
![]() |
出版日期 | 2014-05 |
卷号 | 11期号:3页码:697-707 |
关键词 | Soil erosion Erosion degree Hyper-spectral Aluminium oxides Iron oxide SOM |
英文摘要 | Hyper-spectral data is widely used to determine soil properties. However, few studies have explored the soil spectral characteristics as response to soil erosion. This study analysed the spectral response of different eroded soils in subtropical China, and then identify the spectral characteristics and soil properties that better discriminate soils with different erosion degrees. Two methods were compared: direct identification by inherent spectral characteristics and indirect identification by predictions of critical soil properties. Results showed that the spectral curves for different degrees of erosion were similar in morphology, while overall reflectance and characteristics of specific absorption peaks were different. When the first method is applied, some differences among different eroded groups were found by integration of associated indicators. However, the index of such indicators showed apparent mixing and crossover among different groups, which reduced the accuracy of identification. For the second method, the correlation between critical soil properties, such as soil organic matter (SOM), iron and aluminium oxides and reflectance spectra, was analysed. The correlation coefficients for the moderate eroded group were primarily between −0.3 to −0.5, which were worse than the other two groups. However, the maximum value of R2 was obtained as 0.86 and 0.94 for the non-apparent eroded and the severe group. Furthermore, these two groups also showed some differences in the spectral response of iron complex state (Fep), Aluminium amorphous state (Alo) and the modelling results for soil organic matter (SOM). The study proved that it is feasible to identify different degrees of soil erosion by hyper-spectral data, and that indirect identification by modelling critical soil properties and reflectance spectra is much better than direct identification. These results indicate that hyper-spectral data may represent a promising tool in monitoring and modelling soil erosion. |
收录类别 | SCI |
公开日期 | 2014-05-06 |
源URL | [http://ir.imde.ac.cn/handle/131551/6898] ![]() |
专题 | 成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2014_Vol11 No.3 |
推荐引用方式 GB/T 7714 | LIN Chen,ZHOU Sheng-lu,WU Shao-hua,et al. Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China[J]. Journal of Mountain Science,2014,11(3):697-707. |
APA | LIN Chen,ZHOU Sheng-lu,WU Shao-hua,ZHU Qing,&DANG Qi.(2014).Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China.Journal of Mountain Science,11(3),697-707. |
MLA | LIN Chen,et al."Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China".Journal of Mountain Science 11.3(2014):697-707. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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。