A new method for soil moisture inversion in vegetation-covered area based on Radarsat 2 and Landsat 8
文献类型：期刊论文
| 作者 | Zhao, Xin1; Huang, Ni1; Song, Xian-Feng1; Li, Zeng-Yuan1; Niu, Zheng1 |
| 刊名 | Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves
 |
| 出版日期 | 2016 |
| 卷号 | 35期号:5页码:609-616 |
| 关键词 | PATTERN DECOMPOSITION METHOD PRECISION AGRICULTURE HYPERSPECTRAL DATA AREA INDEX VALIDATION REFLECTANCE HYPERION LAI |
| 通讯作者 | Song, Xian-Feng (xfsong@ucas.ac.cn) |
| 英文摘要 | Active microwave remote sensing and passive optical remote sensing have their own advantages and disadvantages in inversion of soil moisture. In order to combine the advantages of both of them to make up for shortcomings, a semi-empirical model based on Radarsat 2 data and Landsat 8 data has been presented for vegetation-covered soil moisture inversion. The model is based on water-cloud model with the vegetation water content estimated by the optical remote sensing as the key input parameter. Thus the influence of vegetation on the backscattering coefficient would be reduced. Combination of Radarsat 2 and Landsat 8 data were used to estimate the vegetation-covered soil moisture with the new coupling model in the studied area located in Eerguna City of Inner Mongolia, west of Greater Khingan. Then it was verified with the ground survey data. The research showed that the precision is high in the retrieval of vegetation water content (R2=0.89) using Landsat 8 data. The inversion accuracy of coupling model is higher than former algorithms. The R2of HH polarization is raised from 0.27 to 0.65. These results showed that the proposed coupling model has a better inversion accuracy, and can be used in the inversion of vegetation-covered soil moisture. © 2016, Science Press. All right reserved. |
| 学科主题 | Optics |
| 类目[WOS] | Optics |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20164302952346 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39481]  |
| 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. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 2.100049, China 3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 4.100101, China 5. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 6.100091, China |
| 推荐引用方式 GB/T 7714 | Zhao, Xin,Huang, Ni,Song, Xian-Feng,et al. A new method for soil moisture inversion in vegetation-covered area based on Radarsat 2 and Landsat 8[J]. Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves,2016,35(5):609-616. |
| APA | Zhao, Xin,Huang, Ni,Song, Xian-Feng,Li, Zeng-Yuan,&Niu, Zheng.(2016).A new method for soil moisture inversion in vegetation-covered area based on Radarsat 2 and Landsat 8.Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves,35(5),609-616. |
| MLA | Zhao, Xin,et al."A new method for soil moisture inversion in vegetation-covered area based on Radarsat 2 and Landsat 8".Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 35.5(2016):609-616. |
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。