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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Kočí, Jan | Prague |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Ali, M. A. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Jagdhuber, Thomas
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Publications (7/7 displayed)
- 2022Remote sensing of complex permittivity and penetration depth of soils using P-band SAR polarimetrycitations
- 2022Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetrycitations
- 2021Complex Permittivity and Penetration Depth Estimation from Airborne P-Band SAR Data Applying a Hybrid Decomposition Methodcitations
- 2020Simultaneous Retrieval of Surface Roughness Parameters for Bare Soils from Combined Active-Passive Microwave SMAP Observationscitations
- 2019Impact of permittivity patterns on fully polarimetric brightness temperature signatures at l-bandcitations
- 2019Simultaenous Retrieval of Surface Roughness Parameters from Combined Active-Passive SMAP Observations
- 2018Fully Polarimetric L-Band Brightness Temperature Signatures of Azimuthal Permittivity Patterns - Measurements and Model Simulations
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article
Simultaneous Retrieval of Surface Roughness Parameters for Bare Soils from Combined Active-Passive Microwave SMAP Observations
Abstract
An active-passive microwave retrieval algorithm for simultaneous determination of soil surface roughness parameters (vertical RMS height (s) and horizontal correlation length (l)) is presented for bare soils. The algorithm is based on active-passive microwave covariation including the improved Integral Equation Method (I2EM) and is tested with global SMAP observations. Estimated retrieval results for s and l are overall consistent with values in the literature, indicating the validity of the proposed algorithm. Sensitivity analyses showed that the developed roughness retrieval algorithm is independent of permittivity for es > 10 [-]. Furthermore, the physical model basis of this approach (I2EM) allows application of different autocorrelation functions (ACF), such as Gaussian and exponential ACFs. Global roughness retrieval results confirm bare areas in deserts such as Sahara or Gobi. However, the type of ACF used within roughness parameter estimation is important. Retrieval results for the Gaussian ACF describe a rougher surface than retrieval results for the exponential ACF. No correlations were found between roughness results and the amount of precipitation or the soil texture, which could be due to the coarse spatial resolution of the SMAP data. The extension of this approach to vegetated soils is planned as an add-on study.