D. A. Gillette and R. Passi, Modeling dust emission caused by wind erosion, J. Geophys. Res. Space Phys, vol.93, 1988.

Y. Callot, B. Marticorena, and G. Bergametti, Geomorphological approach for modeling the surface features over arid environments in a model of dust emission: Application to the Sahara desert, Geodyn. Acta, vol.13, pp.245-270, 2000.

, Remote Sens, vol.12, p.743, 2020.

B. Marticorena, M. Kardous, G. Bergametti, Y. Callot, P. Chazette et al., Surface and aerodynamic roughness in arid and semiarid areas and their relation to radar backscatter coefficient, J. Geophys. Res. Space Phys, p.111, 2006.

C. Prigent, I. Tegen, F. Aires, B. Marticorena, and M. Zribi, Estimation of the aerodynamic roughness length in arid and semi-arid regions over the globe with the ERS scatterometer, J. Geophys. Res. Space Phys, vol.110, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00145818

B. Marticorena, B. Aumont, C. N'doumé, G. Bergametti, Y. Callot et al., Modeling the atmospheric dust cycle: 2. Simulation of Saharan dust sources, J. Geophys. Res. Space Phys, vol.102, pp.4387-4404, 1997.
URL : https://hal.archives-ouvertes.fr/hal-02326268

M. Zribi, N. Baghdadi, N. Holah, O. Fafin, and C. Guerin, Evaluation of a rough soil surface description with ASAR-ENVISAT radar data, Remote Sens. Environ, vol.95, pp.67-76, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00145827

L. Hegarat-mascle, S. Zribi, M. Ribous, and L. , Retrieval of elevation by radarclinometry in arid or semi-arid regions, Int. J. Remote Sens, vol.26, pp.2877-2899, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00145810

N. Baghdadi, M. Choker, M. Zribi, M. El-hajj, S. Paloscia et al., A New Empirical Model for Radar Scattering from Bare Soil Surfaces
URL : https://hal.archives-ouvertes.fr/hal-01529350

A. Gorrab, M. Zribi, N. Baghdadi, B. Mougenot, P. Fanise et al., Retrieval of Both Soil Moisture and Texture Using TerraSAR-X Images. Remote Sens, vol.7, pp.10098-10116, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02602283

N. Baghdadi, G. Grandjean, D. Lahondère, P. Paillou, and Y. Lasne, Apport de l'imagerie satellitaire radar pour l'exploration géologique en zones arides, Comptes Rendus Geosci, vol.337, pp.719-728, 2005.

G. Grandjean, P. Paillou, and N. Baghdadi, A Volume Scattering Model for Coupled Interpretation of Ground-Penetrating Radar (GPR) and Synthetic Aperture Radar (SAR), Subsurf. Sens. Technol. Appl, vol.5, pp.151-164, 2004.

P. Paillou, G. Grandjean, N. Baghdadi, E. Heggy, T. August-bernex et al., Subsurface imaging in south-central egypt using low-frequency radar: bir safsaf revisited, IEEE Trans. Geosci. Remote Sens, vol.41, pp.1672-1684, 2003.

M. Martin-neira, A Passive Reflectometry and Interferometry System(PARIS)-Application to ocean altimetry, ESA J, vol.17, pp.331-355, 1993.

V. U. Zavorotny, S. Gleason, E. Cardellach, and A. Camps, Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity, IEEE Geosci. Remote Sens. Mag, vol.2, pp.8-45, 2014.

W. Li, E. Cardellach, F. Fabra, A. Rius, S. Ribó et al., First spaceborne phase altimetry over sea ice using TechDemoSat-1 GNSS-R signals, Geophys. Res. Lett, vol.44, pp.8369-8376, 2017.

A. Rius, E. Cardellach, F. Fabra, W. Li, and S. Ribó, Hernández-Pajares, M. Feasibility of GNSS-R Ice Sheet Altimetry in Greenland Using TDS-1. Remote Sens, vol.9, 2017.

W. Li, E. Cardellach, F. Fabra, S. Ribó, and A. Rius, Measuring Greenland Ice Sheet Melt Using Spaceborne GNSS Reflectometry from TechDemoSat-1, Geophys. Res. Lett, vol.2020, p.47

D. Masters, Initial results of land-reflected GPS bistatic radar measurements in SMEX02, Remote Sens. Environ, vol.92, pp.507-520, 2004.

S. J. Katzberg, O. Torres, M. S. Grant, and D. Masters, Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: Results from SMEX02, Remote Sens. Environ, vol.100, pp.17-28, 2006.

N. Rodriguez-alvarez, X. Bosch-lluis, A. Camps, M. Vall-llossera, E. Valencia et al., Ramos-Perez, I. Soil Moisture Retrieval Using GNSS-R Techniques: Experimental Results Over a Bare Soil Field, IEEE Trans. Geosci. Remote Sens, vol.47, pp.3616-3624, 2009.

A. Egido, M. Caparrini, G. Ruffini, S. Paloscia, E. Santi et al., Global Navigation Satellite Systems Reflectometry as a Remote Sensing Tool for Agriculture

A. Egido, S. Paloscia, E. Motte, L. Guerriero, N. Pierdicca et al., Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation

I. J. Sel, Top. Appl. Earth Obs. Remote Sens, vol.7, pp.1522-1532, 2014.

Y. Pei, R. Notarpietro, P. Savi, M. Cucca, and F. Dovis, A Fully Software GNSS-R receiver for Soil Monitoring, Int. J. Remote Sens, vol.35, pp.2378-2391, 2014.

N. Sanchez, A. A. Arroyo, J. Martínez-fernández, M. Piles, Á. González-zamora et al., On the Synergy of Airborne GNSS-R and Landsat 8 for Soil Moisture Estimation. Remote Sens, vol.7, pp.9954-9974, 2015.

, Remote Sens, vol.12, p.743, 2020.

Y. Jia, P. Savi, D. Canone, and R. Notarpietro, Estimation of Surface Characteristics Using GNSS LH-Reflected Signals: Land Versus Water, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.9, pp.4752-4758, 2016.

M. Zribi, M. Pardé, J. Boutin, P. Fanise, D. Hauser et al., CAROLS: A New Airborne L-Band Radiometer for Ocean Surface and Land Observations, Sensors, vol.11, pp.719-742, 2011.
URL : https://hal.archives-ouvertes.fr/ird-00555461

E. Motte, M. Zribi, P. Fanise, A. Egido, J. Darrozes et al., A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring, Sensors, vol.16, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01361071

A. Camps, H. Park, M. Pablos, G. Foti, C. Gommenginger et al., Sensitivity of GNSS-R Spaceborne Observations to Soil Moisture and Vegetation, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.9, pp.4730-4742, 2016.

C. Chew, R. Shah, C. Zuffada, G. Hajj, D. Masters et al., Demonstrating soil moisture remote sensing with observations from the UK TechDemoSat-1 satellite mission, Geophys. Res. Lett, vol.43, pp.3317-3324, 2016.

Y. Jia and P. Savi, Sensing soil moisture and vegetation using GNSS-R polarimetric measurement, Adv. Space Res, vol.59, pp.858-869, 2017.

H. Carreno-luengo, S. Lowe, C. Zuffada, S. Esterhuizen, and S. Oveisgharan, Spaceborne GNSS-R from the SMAP Mission: First Assessment of Polarimetric Scatterometry over Land and Cryosphere. Remote Sens, vol.9, 2017.

M. Zribi, E. Motte, N. Baghdadi, F. Baup, S. Dayau et al., Potential Applications of GNSS-R Observations over Agricultural Areas: Results from the GLORI Airborne Campaign, Remote Sens, vol.10, 1245.
URL : https://hal.archives-ouvertes.fr/hal-01914977

A. Camps, M. Vall·llossera, H. Park, G. Portal, and L. Rossato, Sensitivity of TDS-1 GNSS-R Reflectivity to Soil Moisture: Global and Regional Differences and Impact of Different Spatial Scales, Remote Sens, vol.10, 1856.

C. C. Chew and E. Small, Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture, Geophys. Res. Lett, vol.45, pp.4049-4057, 2018.

M. P. Clarizia, N. Pierdicca, F. Costantini, and N. Floury, Analysis of CYGNSS Data for Soil Moisture Retrieval, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.12, pp.2227-2235, 2019.

W. Wan, B. Liu, Z. Zeng, X. Chen, G. Wu et al., Using CYGNSS Data to Monitor China's Flood Inundation during Typhoon and Extreme Precipitation Events in 2017

M. M. Al-khaldi, J. T. Johnson, A. J. O'brien, A. Balenzano, and F. Mattia, Time-Series Retrieval of Soil Moisture Using CYGNSS, IEEE Trans. Geosci. Remote Sens, vol.57, pp.4322-4331, 2019.

A. Calabia, I. Molina, and S. Jin, Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients

N. Pierdicca, L. Guerriero, R. Giusto, M. Brogioni, and A. Egido, SAVERS: A Simulator of GNSS Reflections from Bare and Vegetated Soils, IEEE Trans. Geosci. Remote Sens, vol.52, pp.6542-6554, 2014.

C. S. Ruf, R. Atlas, P. S. Chang, M. P. Clarizia, J. L. Garrison et al., New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection, Bull. Am. Meteorol. Soc, vol.97, pp.385-395, 2016.

S. Gleason, Level 1B DDM Calibration Algorithm Theoretical Basis Document, CYGNSS Project Document 148-0137-X1, Rev1, p.23, 2014.

S. Gleason, C. S. Ruf, A. J. O'brien, D. S. Mckague, and A. J. Orbrien, The CYGNSS Level 1 Calibration Algorithm and Error Analysis Based on On-Orbit Measurements, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol.12, pp.37-49, 2019.

A. M. Balakhder, M. M. Al-khaldi, and J. T. Johnson, On the Coherency of Ocean and Land Surface Specular Scattering for GNSS-R and Signals of Opportunity Systems, IEEE Trans. Geosci. Remote Sens, vol.57, pp.10426-10436, 2019.

A. Camps, Spatial Resolution in GNSS-R Under Coherent Scattering, IEEE Geosci. Remote Sens. Lett, vol.17, pp.32-36, 2020.

, Remote Sens, vol.12, p.743, 2020.

C. S. Ruf, DDM Data Compression and Decimation Algorithm, SPRL Tech. Memorandum 148-0046-X1, 2013.

. Eorc and . Jaxa, Alos Data Users Handbook" Tokyo, p.22, 2008.

M. Shimada, N. Itoh, M. Watanabe, T. Moriyama, and T. Tadono, PALSAR initial calibration and validation results, Sens. Syst. Next-Gener. Satell. X, p.636103, 2006.

K. H. Cook and E. K. Vizy, Contemporary Climate Change of the African Monsoon Systems, Curr. Clim. Chang. Rep, vol.5, pp.145-159, 2019.

B. Horn, Hill shading and the reflectance map, Proc. IEEE 1981, vol.69, pp.14-47

M. Zribi, A. Gorrab, and N. Baghdadi, A new soil roughness parameter for the modelling of radar backscattering over bare soil, Remote Sens. Environ, vol.152, pp.62-73, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02599854