Climate Change Data Portal
DOI | 10.3390/rs13224691 |
Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth | |
Feng, Tianwen; Hao, Xiaohua; Wang, Jian; Li, Hongyi; Zhang, Juan | |
通讯作者 | Hao, XH (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China. ; Hao, XH (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China. |
发表日期 | 2021 |
EISSN | 2072-4292 |
卷号 | 13期号:22 |
英文摘要 | High-resolution Synthetic Aperture Radar (SAR), as an efficient Earth observation technology, can be used as a complementary means of observation for snow depth (SD) and can address the spatial heterogeneity of mountain snow. However, there is still uncertainty in the SD retrieval algorithm based on SAR data, due to soil surface scattering. The aim of this study is to quantify the impact of soil signals on the SD retrieval method based on the cross-ratio (CR) of high-spatial resolution SAR images. Utilizing ascending Sentinel-1 observation data during the period from November 2016 to March 2020 and a CR method based on VH- and VV-polarization, we quantitatively analyzed the CR variability characteristics of rock and soil areas within typical thick snow study areas in the Northern Hemisphere from temporal and spatial perspectives. The correlation analysis demonstrated that the CR signal in rock areas at a daily timescale shows a strong correlation (mean value > 0.60) with snow depth. Furthermore, the soil areas are more influenced by freeze-thaw cycles, such that the monthly CR changes showed no or negative trend during the snow accumulation period. This study highlights the complexity of the physical mechanisms of snow scattering during winter processes and the influencing factors that cause uncertainty in the SD retrieval, which help to promote the development of high-spatial resolution C-band data for snow characterization applications. |
关键词 | PASSIVE MICROWAVE REMOTEWATER EQUIVALENTSAR DATARETRIEVALGLACIER |
英文关键词 | snow depth; Sentinel-1; soil signal; cross-ratio polarization; Google Earth Engine |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000726998400001 |
来源期刊 | REMOTE SENSING |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/253786 |
作者单位 | [Feng, Tianwen; Hao, Xiaohua; Wang, Jian; Li, Hongyi; Zhang, Juan] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China; [Feng, Tianwen; Zhang, Juan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Hao, Xiaohua; Wang, Jian; Li, Hongyi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Zhang, Juan] Meteorol Inst Qinghai Prov, Xining 810001, Peoples R China |
推荐引用方式 GB/T 7714 | Feng, Tianwen,Hao, Xiaohua,Wang, Jian,et al. Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth[J]. 中国科学院西北生态环境资源研究院,2021,13(22). |
APA | Feng, Tianwen,Hao, Xiaohua,Wang, Jian,Li, Hongyi,&Zhang, Juan.(2021).Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth.REMOTE SENSING,13(22). |
MLA | Feng, Tianwen,et al."Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth".REMOTE SENSING 13.22(2021). |
条目包含的文件 | 条目无相关文件。 |
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。