Hyperspectral Remote Sensing Monitoring of Grassland Degradation
文献类型：SCI/SSCI论文
| 作者 | Wang H. J. ; Fan W. J. ; Cui Y. K. ; Zhou L. ; Yan B. Y. ; Wu D. H. ; Xu X. R. |
| 发表日期 | 2010 |
| 关键词 | Hyperspectral Grassland degradation Spectral characteristics Mixed spectra unmixing vegetation xilinhot china |
| 英文摘要 | The distributing of China's grassland is abroad and the status of grassland degradation is in serious condition. So achieving real-time and exactly grassland ecological monitoring is significant for the carbon cycle, as well as for climate and on regional economies. With the field measured spectra data as data source, hyperspectral remote sensing monitoring of grassland degradation was researched in the present article. The warm meadow grassland in Hulunbeier was chosen as a study object. Reflectance spectra of leaves and pure canopies of some dominant grassland species such as Leymus chinensis, Stipa krylovii and Artemisia frigid, as well as reflectance spectra of mixed grass community were measured. Using effective spectral feature parametrization methods, the spectral feature of leaves and pure canopies were extracted, so the constructive species and degenerate indicator species can be exactly distinguished. Verification results showed that the accuracy of spectral identification was higher than 95%. Taking it as the foundation, the spectra of mixed grass community were unmixed using linear mixing models, and the proportion of all the components was calculated, and the errors were less than 5%. The research results of this article provided the evidence of hyperspectral remote sensing monitoring of grassland degradation. |
| 出处 | Spectroscopy and Spectral Analysis |
| 卷 | 30 |
| 期 | 10 |
| 页 | 2734-2738 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1000-0593 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22945]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang H. J.,Fan W. J.,Cui Y. K.,et al. Hyperspectral Remote Sensing Monitoring of Grassland Degradation. 2010. |
入库方式： OAI收割
来源：地理科学与资源研究所
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