Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery
文献类型：期刊论文
| 作者 | Yan, Shiyong1; Liu, Guang1; Deng, Kazhong1; Wang, Yunjia1; Zhang, Shubi1; Zhao, Feng1 |
| 刊名 | Remote Sensing Letters
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:3页码:219-228 |
| 关键词 | LEAF-AREA INDEX ESSENTIAL CLIMATE VARIABLES TIME-SERIES GLOBAL PRODUCTS GEOV1 LAI DATA SETS VEGETATION RETRIEVAL ALGORITHM FAPAR |
| 通讯作者 | Liu, Guang (liuguang@radi.ac.cn) |
| 英文摘要 | Differential synthetic aperture radar interferometry (D-InSAR) is limited when exploited in high-intensity mining areas, because large deformation gradients lie beyond the maximum measurable value of the D-InSAR technique which breaks the prerequisite for successfully employing of the method. The SAR amplitude-based pixel-tracking method provides an alternative way to efficiently and robustly extract the large deformation distribution particularly when the D-InSAR technique is limited by loss of coherence. In addition, the deformation in the line-of-sight direction and the deformation along the azimuth direction are also presented in this paper with 24-day interval repeat-pass high-resolution Rardarsat-2 imagery. Combining both of these techniques can help to better understand the deformation mechanisms associated with underground mining activities. The accuracies of 0.12 m in slant-range direction and 0.19 m in the azimuth direction were achieved, respectively. Besides, the profiles across the maximum deformation region have verified that the deformation occurred during two acquisition periods is far beyond the theoretical maximum deformation gradient corresponding to high-resolution C-band SAR data. The obtained surface motion infers to the mining activities and assessed damage caused by the large deformation. © 2015 Taylor & Francis. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20160401831284 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39466]  |
| 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. Jiangsu Key Laboratory of Resources and Environmental Engineering, School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 2.Jiangsu, China 3. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Haidian District, Beijing, China |
| 推荐引用方式 GB/T 7714 | Yan, Shiyong,Liu, Guang,Deng, Kazhong,et al. Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery[J]. Remote Sensing Letters,2016,7(3):219-228. |
| APA | Yan, Shiyong,Liu, Guang,Deng, Kazhong,Wang, Yunjia,Zhang, Shubi,&Zhao, Feng.(2016).Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery.Remote Sensing Letters,7(3),219-228. |
| MLA | Yan, Shiyong,et al."Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery".Remote Sensing Letters 7.3(2016):219-228. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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