Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025163 |
Simulating C-Band SAR Footprint-Scale Backscatter Over Agricultural Area With a Physical Land Surface Model | |
Sun, Leqiang1; Dabboor, Mohammed1; Belair, Stephane1; Carrera, Marco L.1; Merzouki, Amine2 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:4594-4612 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Remotely sensed soil moisture products are ideal candidates for initializing soil moisture profiles of land surface models via data assimilation. This paper investigates the possibility of using a calibrated Integral Equation Model coupled with a hyperresolution land surface model, called Soil, Vegetation, and Snow (SVS) to simulate backscatter and compares the results with C-band RADARSAT-2 Synthetic Aperture Radar (SAR) backscatter signals in postharvest season when the field is considered bare soil or sparsely vegetated. Modifications to SVS evaporation scheme are shown to improve the comparison against SAR measurements. An improved effective soil roughness calculation scheme was also proposed to focus on the inversion of the root mean square height (H-rms) only. Soil dielectric constant compensation was suggested to reduce the inversion error and expand the dynamic range of Integral Equation Model. The combination of SVS soil moisture and effective roughness is found superior to the absence of either of them. This method is promising considering that it does not require any in situ measurements, and yet it still outperforms the original IEM model, which uses in situ measured soil moisture and soil roughness at point scale. |
英文关键词 | soil moisture land surface model backscatter effective soil roughness Integral Equation Model |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616900006 |
WOS关键词 | SOIL-MOISTURE RETRIEVAL ; SYNTHETIC-APERTURE RADAR ; INTEGRAL-EQUATION MODEL ; BARE SOIL ; VALIDATION ; IEM ; PARAMETERIZATION ; TEMPERATURE ; DUBOIS ; OH |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183960 |
专题 | 资源环境科学 |
作者单位 | 1.Environm & Climate Change Canada, Meteorol Res Div, Dorval, PQ, Canada; 2.Agr & Agri Food Canada, Sci & Technol Branch, Ottawa, ON, Canada |
推荐引用方式 GB/T 7714 | Sun, Leqiang,Dabboor, Mohammed,Belair, Stephane,et al. Simulating C-Band SAR Footprint-Scale Backscatter Over Agricultural Area With a Physical Land Surface Model[J]. WATER RESOURCES RESEARCH,2019,55(6):4594-4612. |
APA | Sun, Leqiang,Dabboor, Mohammed,Belair, Stephane,Carrera, Marco L.,&Merzouki, Amine.(2019).Simulating C-Band SAR Footprint-Scale Backscatter Over Agricultural Area With a Physical Land Surface Model.WATER RESOURCES RESEARCH,55(6),4594-4612. |
MLA | Sun, Leqiang,et al."Simulating C-Band SAR Footprint-Scale Backscatter Over Agricultural Area With a Physical Land Surface Model".WATER RESOURCES RESEARCH 55.6(2019):4594-4612. |
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