A. Berg, B. R. Lintner, K. L. Findell, S. Malyshev, P. C. Loikith et al., Impact of Soil Moisture-Atmosphere Interactions on Surface Temperature Distribution, J. Clim, vol.27, pp.7976-7993, 2014.

S. I. Seneviratne, T. Corti, E. L. Davin, M. Hirschi, E. B. Jaeger et al., Investigating soil moisture-climate interactions in a changing climate: A review, Earth-Sci. Rev, vol.99, pp.125-161, 2010.

D. Norbiato, M. Borga, S. Degli-esposti, E. Gaume, and S. Anquetin, Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins, J. Hydrol, vol.362, pp.274-290, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00371634

J. D. Bolten, W. T. Crow, X. Zhan, T. J. Jackson, and C. A. Reynolds, Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens, vol.3, pp.57-66, 2010.

Y. H. Kerr, P. Waldteufel, J. P. Wigneron, J. Martinuzzi, J. Font et al., Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission, IEEE Trans. Geosci. Remote Sens, vol.39, pp.1729-1735, 2001.
URL : https://hal.archives-ouvertes.fr/hal-01655355

W. Wagner, G. Lemoine, and H. Rott, A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data. Remote Sens. Environ, vol.70, pp.191-207, 1999.

D. Entekhabi, E. G. Njoku, P. E. O'neill, K. H. Kellogg, W. T. Crow et al., The Soil Moisture Active Passive (SMAP) Mission. Proc. IEEE 2010, vol.98, pp.704-716

M. Owe, R. De-jeu, and J. Walker, A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index, IEEE Trans. Geosci. Remote Sens, vol.39, pp.1643-1654, 2001.

W. A. Dorigo, W. Wagner, R. Hohensinn, S. Hahn, C. Paulik et al., The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements, Hydrol. Earth Syst. Sci, vol.15, pp.1675-1698, 2011.

W. A. Dorigo, A. Xaver, M. Vreugdenhil, A. Gruber, A. Hegyiová et al., Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network, Vadose Zone J, vol.12, 2013.

J. P. Wigneron, S. Dayan, A. Kruszewski, C. Aluome, M. G. Ai-yaari et al., The Aqui Network: Soil Moisture Sites in the, Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, pp.26-30, 2018.

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

K. Saleh, A. Porte, D. Guyon, P. Ferrazzoli, and J. Wigneron, A forest geometric description of a maritime pine forest suitable for discrete microwave models, IEEE Trans. Geosci. Remote Sens, vol.43, pp.2024-2035, 2005.

T. L. Toan, A. Beaudoin, J. Riom, and D. Guyon, Relating forest biomass to SAR data, IEEE Trans. Geosci. Remote Sens, vol.30, pp.403-411, 1992.

B. Beguet, D. Guyon, S. Boukir, and N. Chehata, Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery, ISPRS J. Photogramm. Remote Sens, vol.96, pp.164-178, 2014.

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, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01914977

M. Zribi, D. Guyon, E. Motte, J. Wigneron, S. Dayau et al., Performances of GNSS-R GLORI data over Landes forest in France, Int. J. Appl. Earth Obs. Geoinf, vol.74, 2019.

S. Kowalski, M. Sartore, R. Burlett, P. Berbigier, and D. Loustau, The annual carbon budget of a French pine forest (Pinus pinaster) following harvest, Glob. Change Biol, vol.9, pp.1051-1065, 2003.

L. Deirmendjian, D. Loustau, L. Augusto, S. Lafont, C. Chipeaux et al., Hydro-ecological controls on dissolved carbon dynamics in groundwater and export to streams in a temperate pine forest, Biogeosciences, vol.15, pp.669-691, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02104908

R. Oliva, E. Daganzo, Y. H. Kerr, S. Mecklenburg, S. Nieto et al., SMOS Radio Frequency Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400-1427-MHz Passive Band, IEEE Trans. Geosci. Remote Sens, vol.50, pp.1427-1439, 2012.
URL : https://hal.archives-ouvertes.fr/ird-00701133

R. Oliva, E. Daganzo, P. Richaume, Y. Kerr, F. Cabot et al., Status of Radio Frequency Interference (RFI) in the 1400-1427 MHz passive band based on six years of SMOS mission, Remote Sens. Environ, vol.180, pp.64-75, 2016.

Y. H. Kerr, P. Waldteufel, J. P. Wigneron, S. Delwart, F. Cabot et al., The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle. Proc. IEEE 2010, vol.98, pp.666-687

J. P. Wigneron, Y. Kerr, P. Waldteufel, K. Saleh, M. J. Escorihuela et al., L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields. Remote Sens. Environ, vol.107, pp.639-655, 2007.
URL : https://hal.archives-ouvertes.fr/insu-00387991

J. P. Wigneron, T. J. Jackson, P. O'neill, G. De-lannoy, P. De-rosnay et al., Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms. Remote Sens, vol.192, pp.238-262, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01608643

A. Al-yaari, A. Mialon, W. Dorigo, A. Colliander, L. Fan et al., Validation of satellite microwave retrieved soil moisture with global ground-based measurements, Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, pp.26-30, 2018.

A. Al-yaari, J. P. Wigneron, A. Ducharne, Y. Kerr, P. De-rosnay et al., Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates, Remote Sens. Environ, vol.149, pp.181-195, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01062447

R. Fernandez-moran, A. Al-yaari, A. Mialon, A. Mahmoodi, A. Bitar et al., An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
URL : https://hal.archives-ouvertes.fr/hal-01606578

R. Fernandez-moran, J. P. Wigneron, G. De-lannoy, E. Lopez-baeza, M. Parrens et al., A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm, Int. J. Appl. Earth Obs. Geoinf, vol.62, pp.27-38, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01604901

, PUM. Product User Manual (PUM) Soil Moisture Data Records, p.9, 2016.

C. Paulik, W. Dorigo, W. Wagner, and R. Kidd, Validation of the ASCAT Soil Water Index using in situ data from the International Soil Moisture Network, Int. J. Appl. Earth Obs. Geoinf, vol.30, pp.1-8, 2014.

Y. Y. Liu, W. A. Dorigo, R. M. Parinussa, R. A. De-jeu, W. Wagner et al., Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sens. Environ, vol.123, pp.280-297, 2012.

W. Dorigo, W. Wagner, C. Albergel, F. Albrecht, G. Balsamo et al., ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sens, vol.203, pp.185-215, 2017.

M. Rodell, P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell et al., The Global Land Data Assimilation System, Bull. Am. Meteorol. Soc, vol.85, pp.381-394, 2004.

C. Albergel, C. Rüdiger, D. Carrer, J. Calvet, N. Fritz et al., An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France, Hydrol. Earth Syst. Sci, vol.13, pp.115-124, 2009.

A. Al-yaari, J. P. Wigneron, A. Ducharne, Y. H. Kerr, W. Wagner et al., Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations, vol.152, pp.614-626, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01062452

L. Brocca, S. Hasenauer, T. Lacava, F. Melone, T. Moramarco et al., Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across, Europe. Remote Sens. Environ, vol.115, pp.3390-3408, 2011.

M. Brandt, J. Wigneron, J. Chave, T. Tagesson, J. Penuelas et al., Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands, Nat. Ecol. Evol, vol.2, pp.827-835, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01806711

Y. H. Kerr, A. Al-yaari, N. Rodriguez-fernandez, M. Parrens, B. Molero et al., Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation, Remote Sens. Environ, vol.180, pp.40-63, 2016.
URL : https://hal.archives-ouvertes.fr/insu-01321425

J. N. Rodríguez-fernández, H. Y. Kerr, R. Van-der-schalie, A. Al-yaari, J. Wigneron et al., Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data

D. J. Leroux, Y. H. Kerr, A. Bitar, R. Bindlish, T. J. Jackson et al., Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S, IEEE Trans. Geosci. Remote Sens, vol.52, pp.1562-1571, 2013.
URL : https://hal.archives-ouvertes.fr/ird-00828830

A. Al-yaari, J. P. Wigneron, Y. Kerr, N. Rodriguez-fernandez, P. E. O'neill et al., Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets. Remote Sens, vol.193, pp.257-273, 2017.

M. J. Escorihuela, A. Chanzy, J. P. Wigneron, and Y. H. Kerr, Effective soil moisture sampling depth of L-band radiometry: A case study, Remote Sens. Environ, vol.114, pp.995-1001, 2010.
URL : https://hal.archives-ouvertes.fr/ird-00467991

, This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, © 2018 by the authors. Licensee MDPI