Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs8110920 |
A New Empirical Model for Radar Scattering from Bare Soil Surfaces | |
Baghdadi, Nicolas1; Choker, Mohammad1; Zribi, Mehrez2; El Hajj, Mohammad1; Paloscia, Simonetta3; Verhoest, Niko E. C.4; Lievens, Hans4,5; Baup, Frederic2; Mattia, Francesco6 | |
通讯作者 | Baghdadi, Nicolas |
来源期刊 | REMOTE SENSING |
ISSN | 2072-4292 |
出版年 | 2016 |
卷号 | 8期号:11 |
英文摘要 | The objective of this paper is to propose a new semi-empirical radar backscattering model for bare soil surfaces based on the Dubois model. A wide dataset of backscattering coefficients extracted from synthetic aperture radar (SAR) images and in situ soil surface parameter measurements (moisture content and roughness) is used. The retrieval of soil parameters from SAR images remains challenging because the available backscattering models have limited performances. Existing models, physical, semi-empirical, or empirical, do not allow for a reliable estimate of soil surface geophysical parameters for all surface conditions. The proposed model, developed in HH, HV, and VV polarizations, uses a formulation of radar signals based on physical principles that are validated in numerous studies. Never before has a backscattering model been built and validated on such an important dataset as the one proposed in this study. It contains a wide range of incidence angles (18 degrees-57 degrees) and radar wavelengths (L, C, X), well distributed, geographically, for regions with different climate conditions (humid, semi-arid, and arid sites), and involving many SAR sensors. The results show that the new model shows a very good performance for different radar wavelengths (L, C, X), incidence angles, and polarizations (RMSE of about 2 dB). This model is easy to invert and could provide a way to improve the retrieval of soil parameters. |
英文关键词 | new backscattering model Dubois model SAR images soil parameters |
类型 | Article |
语种 | 英语 |
国家 | France ; Italy ; Belgium ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000388798400041 |
WOS关键词 | TERRASAR-X DATA ; SIR-C/X-SAR ; L-BAND SAR ; MOISTURE ESTIMATION ; C-BAND ; AGRICULTURAL FIELDS ; MULTI-POLARIZATION ; ROUGHNESS ; RETRIEVAL ; BACKSCATTERING |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
来源机构 | French National Research Institute for Sustainable Development |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/195980 |
作者单位 | 1.IRSTEA, UMR TETIS, 500 Rue Francois Breton, F-34093 Montpellier 5, France; 2.CESBIO, 18 Ave Edouard Belin,Bpi 2801, F-31401 Toulouse 9, France; 3.CNR, IFAC, Via Madonna del Piano 10, I-50019 Florence, Italy; 4.Univ Ghent, Lab Hydrol & Water Management, B-9000 Ghent, Belgium; 5.NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA; 6.CNR, ISSIA, Via Amendola 122-D, I-70126 Bari, Italy |
推荐引用方式 GB/T 7714 | Baghdadi, Nicolas,Choker, Mohammad,Zribi, Mehrez,et al. A New Empirical Model for Radar Scattering from Bare Soil Surfaces[J]. French National Research Institute for Sustainable Development,2016,8(11). |
APA | Baghdadi, Nicolas.,Choker, Mohammad.,Zribi, Mehrez.,El Hajj, Mohammad.,Paloscia, Simonetta.,...&Mattia, Francesco.(2016).A New Empirical Model for Radar Scattering from Bare Soil Surfaces.REMOTE SENSING,8(11). |
MLA | Baghdadi, Nicolas,et al."A New Empirical Model for Radar Scattering from Bare Soil Surfaces".REMOTE SENSING 8.11(2016). |
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