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DOI10.3390/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
EISSN2072-4292
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).
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