Effective roughness modelling as a tool for soil moisture retrieval from C-and L-band SAR
- Author
- Hans Lievens (UGent) , Niko Verhoest (UGent) , Eva De Keyser (UGent) , Hilde Vernieuwe (UGent) , P Matgen, J Alvarez-Mozos and Bernard De Baets (UGent)
- Organization
- Abstract
- Soil moisture retrieval from Synthetic Aperture Radar (SAR) using state-of-the-art backscatter models is not fully operational at present, mainly due to difficulties involved in the parameterisation of soil surface roughness. Recently, increasing interest has been drawn to the use of calibrated or effective roughness parameters, as they circumvent issues known to the parameterisation of field measured roughness. This paper analyses effective roughness parameters derived from C- and L-band SAR observations over a large number of agricultural seedbed sites in Europe. It shows that parameters may largely differ between SAR acquisitions, as they are related to the observed backscatter coefficients and variations in the local incidence angle. Therefore, a statistical model is developed that allows for estimating effective roughness parameters from microwave backscatter observations. Subsequently, these parameters can be propagated through the Integral Equation Model (IEM) for soil moisture retrieval. It is shown that fairly accurate soil moisture results are obtained both at C- and L-band, with an RMSE ranging between 4 vol% and 6.5 vol%.
- Keywords
- SURFACE SCATTERING MODELS, INTEGRAL-EQUATION MODEL, soil roughness, soil moisture, PARAMETERIZATION, CALIBRATION, LAND, APPLICABILITY, synthetic aperture radar, CORRELATION LENGTH, BACKSCATTER MODELS, BARE SOILS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1211532
- MLA
- Lievens, Hans, et al. “Effective Roughness Modelling as a Tool for Soil Moisture Retrieval from C-and L-Band SAR.” HYDROLOGY AND EARTH SYSTEM SCIENCES, vol. 15, no. 1, 2011, pp. 151–62, doi:10.5194/hess-15-151-2011.
- APA
- Lievens, H., Verhoest, N., De Keyser, E., Vernieuwe, H., Matgen, P., Alvarez-Mozos, J., & De Baets, B. (2011). Effective roughness modelling as a tool for soil moisture retrieval from C-and L-band SAR. HYDROLOGY AND EARTH SYSTEM SCIENCES, 15(1), 151–162. https://doi.org/10.5194/hess-15-151-2011
- Chicago author-date
- Lievens, Hans, Niko Verhoest, Eva De Keyser, Hilde Vernieuwe, P Matgen, J Alvarez-Mozos, and Bernard De Baets. 2011. “Effective Roughness Modelling as a Tool for Soil Moisture Retrieval from C-and L-Band SAR.” HYDROLOGY AND EARTH SYSTEM SCIENCES 15 (1): 151–62. https://doi.org/10.5194/hess-15-151-2011.
- Chicago author-date (all authors)
- Lievens, Hans, Niko Verhoest, Eva De Keyser, Hilde Vernieuwe, P Matgen, J Alvarez-Mozos, and Bernard De Baets. 2011. “Effective Roughness Modelling as a Tool for Soil Moisture Retrieval from C-and L-Band SAR.” HYDROLOGY AND EARTH SYSTEM SCIENCES 15 (1): 151–162. doi:10.5194/hess-15-151-2011.
- Vancouver
- 1.Lievens H, Verhoest N, De Keyser E, Vernieuwe H, Matgen P, Alvarez-Mozos J, et al. Effective roughness modelling as a tool for soil moisture retrieval from C-and L-band SAR. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2011;15(1):151–62.
- IEEE
- [1]H. Lievens et al., “Effective roughness modelling as a tool for soil moisture retrieval from C-and L-band SAR,” HYDROLOGY AND EARTH SYSTEM SCIENCES, vol. 15, no. 1, pp. 151–162, 2011.
@article{1211532, abstract = {{Soil moisture retrieval from Synthetic Aperture Radar (SAR) using state-of-the-art backscatter models is not fully operational at present, mainly due to difficulties involved in the parameterisation of soil surface roughness. Recently, increasing interest has been drawn to the use of calibrated or effective roughness parameters, as they circumvent issues known to the parameterisation of field measured roughness. This paper analyses effective roughness parameters derived from C- and L-band SAR observations over a large number of agricultural seedbed sites in Europe. It shows that parameters may largely differ between SAR acquisitions, as they are related to the observed backscatter coefficients and variations in the local incidence angle. Therefore, a statistical model is developed that allows for estimating effective roughness parameters from microwave backscatter observations. Subsequently, these parameters can be propagated through the Integral Equation Model (IEM) for soil moisture retrieval. It is shown that fairly accurate soil moisture results are obtained both at C- and L-band, with an RMSE ranging between 4 vol% and 6.5 vol%.}}, author = {{Lievens, Hans and Verhoest, Niko and De Keyser, Eva and Vernieuwe, Hilde and Matgen, P and Alvarez-Mozos, J and De Baets, Bernard}}, issn = {{1027-5606}}, journal = {{HYDROLOGY AND EARTH SYSTEM SCIENCES}}, keywords = {{SURFACE SCATTERING MODELS,INTEGRAL-EQUATION MODEL,soil roughness,soil moisture,PARAMETERIZATION,CALIBRATION,LAND,APPLICABILITY,synthetic aperture radar,CORRELATION LENGTH,BACKSCATTER MODELS,BARE SOILS}}, language = {{eng}}, number = {{1}}, pages = {{151--162}}, title = {{Effective roughness modelling as a tool for soil moisture retrieval from C-and L-band SAR}}, url = {{http://doi.org/10.5194/hess-15-151-2011}}, volume = {{15}}, year = {{2011}}, }
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