IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2014  > Vol11 No.3
Spectral Response of Different Eroded Soils in Subtropical China: A Case Study in Changting County, China
LIN Chen; ZHOU Sheng-lu; WU Shao-hua; ZHU Qing; DANG Qi
2014-05
Source PublicationJournal of Mountain Science
Volume11Issue:3Pages:697-707
AbstractHyper-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.
KeywordSoil Erosion Erosion Degree Hyper-spectral Aluminium Oxides Iron Oxide Som
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6898
CollectionJournal of Mountain Science_Journal of Mountain Science-2014_Vol11 No.3
Recommended Citation
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.
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