Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs10101505 |
Evaluation of Manning’s n Roughness Coefficient in Arid Environments by Using SAR Backscatter | |
Sadeh, Yuval1; Cohen, Hai1; Maman, Shimrit2; Blumberg, Dan G.1 | |
通讯作者 | Sadeh, Yuval |
来源期刊 | REMOTE SENSING |
ISSN | 2072-4292 |
出版年 | 2018 |
卷号 | 10期号:10 |
英文摘要 | The prediction of arid region flash floods (magnitude and frequency) is essential to ensure the safety of human life and infrastructures and is commonly based on hydrological models. Traditionally, catchment characteristics are extracted using point-based measurements. A considerable improvement of point-based observations is offered by remote sensing technologies, which enables the determination of continuous spatial hydrological parameters and variables, such as surface roughness, which significantly influence runoff velocity and depth. Hydrological models commonly express the surface roughness using Manning’s roughness coefficient (n) as a key variable. The objectives were thus to determine surface roughness by exploiting a new high spatial resolution spaceborne synthetic aperture radar (SAR) technology and to examine the correlation between radar backscatter and Manning’s roughness coefficient in an arid environment. A very strong correlation (R-2 = 0.97) was found between the constellation of small satellites for Mediterranean basin observation (COSMO)-SkyMed SAR backscatter and surface roughness. The results of this research demonstrate the feasibility of using an X-band spaceborne sensor with high spatial resolution for the evaluation of surface roughness in flat arid environments. The innovative method proposed to evaluate Manning’s n roughness coefficient in arid environments with sparse vegetation cover using radar backscatter may lead to improvements in the performance of hydrological models. |
英文关键词 | surface roughness synthetic aperture radar (SAR) radar backscatter Manning’s n roughness coefficient hydrological models arid environment |
类型 | Article |
语种 | 英语 |
国家 | Israel |
收录类别 | SCI-E |
WOS记录号 | WOS:000448555800005 |
WOS关键词 | SOIL SURFACE-ROUGHNESS ; RADAR BACKSCATTER ; EMPIRICAL-MODEL ; NEGEV DESERT ; RETRIEVAL ; CATCHMENT ; FLOOD ; PARAMETERIZATION ; RAINFALL ; CLIMATE |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
来源机构 | Ben-Gurion University of the Negev |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/212659 |
作者单位 | 1.Ben Gurion Univ Negev, Dept Geog & Environm Dev, IL-84105 Beer Sheva, Israel; 2.Ben Gurion Univ Negev, Homeland Secur Res Inst, POB 653, IL-84105 Beer Sheva, Israel |
推荐引用方式 GB/T 7714 | Sadeh, Yuval,Cohen, Hai,Maman, Shimrit,等. Evaluation of Manning’s n Roughness Coefficient in Arid Environments by Using SAR Backscatter[J]. Ben-Gurion University of the Negev,2018,10(10). |
APA | Sadeh, Yuval,Cohen, Hai,Maman, Shimrit,&Blumberg, Dan G..(2018).Evaluation of Manning’s n Roughness Coefficient in Arid Environments by Using SAR Backscatter.REMOTE SENSING,10(10). |
MLA | Sadeh, Yuval,et al."Evaluation of Manning’s n Roughness Coefficient in Arid Environments by Using SAR Backscatter".REMOTE SENSING 10.10(2018). |
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