New empirical backscattering models for estimating bare soil surface parameters

References

• Álvarez-Mozos, J., M. Gonzalez-Audícana, and J. Casalí. 2007. “Evaluation of Empirical and Semi-empirical Backscattering Models for Surface Soil Moisture Estimation.” Canadian Journal of Remote Sensing 33 (3): 176–188. doi:10.5589/m07-024.
   Web of Science ®Google Scholar
• Amani, M., B. Salehi, S. Mahdavi, B. Brisco, and M. Shehata. 2018. “A Multiple Classifier System to Improve Mapping Complex Land Covers: A Case Study of Wetland Classification Using SAR Data in Newfoundland, Canada.” International Journal of Remote Sensing 39 (21): 7370–7383. doi:10.1080/01431161.2018.1468117.
   Web of Science ®Google Scholar
• Amani, M., B. Salehi, S. Mahdavi, J. Granger, and B. Brisco. 2017. “Wetland Classification in Newfoundland and Labrador Using Multi-source SAR and Optical Data Integration.” GIScience & Remote Sensing 54 (6): 779–796. doi:10.1080/15481603.2017.1331510.
   Web of Science ®Google Scholar
• Attema, E. P. W., and F. T. Ulaby. 1978. “Vegetation Modeled as a Water Cloud.” Radio Science 13 (2): 357–364. doi:10.1029/RS013i002p00357.
   Web of Science ®Google Scholar
• Azimi, S., A. B. Dariane, S. Modanesi, B. Bauer-Marschallinger, R. Bindlish, W. Wagner, and C. Massari. 2020. “Assimilation of Sentinel 1 and SMAP–based Satellite Soil Moisture Retrievals into SWAT Hydrological Model: The Impact of Satellite Revisit Time and Product Spatial Resolution on Flood Simulations in Small Basins.” Journal of Hydrology 581: 124367.
   PubMed Web of Science ®Google Scholar
• Baghdadi, N., M. Aubert, and M. Zribi. 2011. “Use of TerraSAR-X Data to Retrieve Soil Moisture over Bare Soil Agricultural Fields.” IEEE Geoscience and Remote Sensing Letters 9 (3): 512–516. doi:10.1109/LGRS.2011.2173155.
   Web of Science ®Google Scholar
• Baghdadi, N., M. Aubert, O. Cerdan, L. Franchistéguy, C. Viel, M. Eric, M. Zribi, and J. F. Desprats. 2007. “Operational Mapping of Soil Moisture Using Synthetic Aperture Radar Data: Application to the Touch Basin (France).” Sensors 7 (10): 2458–2483. doi:10.3390/s7102458.
   PubMed Web of Science ®Google Scholar
• Baghdadi, N., N. Holah, and M. Zribi. 2006. “Calibration of the Integral Equation Model for SAR Data in C‐band and HH and VV Polarizations.” International Journal of Remote Sensing 27 (4): 805–816. doi:10.1080/01431160500212278.
   Web of Science ®Google Scholar
• Baghdadi, N., R. Cresson, E. Pottier, M. Aubert, M. Mehrez, A. Jacome, and S. Benabdallah. 2012. “A Potential Use for the C-band Polarimetric SAR Parameters to Characterize the Soil Surface over Bare Agriculture Fields.” IEEE Transactions on Geoscience and Remote Sensing 50 (10): 3844–3858. doi:10.1109/TGRS.2012.2185934.
   Web of Science ®Google Scholar
• Baghdadi, N. I., M. Z. Gherboudj, M. Sahebi, C. King, and F. Bonn. 2004. “Semi-empirical Calibration of the IEM Backscattering Model Using Radar Images and Moisture and Roughness Field Measurements.” International Journal of Remote Sensing 25 (18): 3593–3623. doi:10.1080/01431160310001654392.
   Web of Science ®Google Scholar
• Barrett, B. W., E. Dwyer, and P. Whelan. 2009. “Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques.” Remote Sensing 1 (3): 210–242. doi:10.3390/rs1030210.
   Web of Science ®Google Scholar
• Baup, F., E. Mougin, P. De Rosnay, P. Hiernaux, F. Frappart, P.-L. Frison, M. Zribi, and J. Viarre. 2011. “Mapping Surface Soil Moisture over the Gourma Mesoscale Site (Mali) by Using ENVISAT ASAR Data.”
   Google Scholar
• Beaulieu, N., G. Leclerc, and Y. Moisan. 1995. “Détermination de la rugosité de surface par des méthodes accessibles.” Canadian Journal of Remote Sensing 21 (2): 198–203. doi:10.1080/07038992.1995.10874613.
   Google Scholar
• Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti. 2002. “A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms.” IEEE Transactions on Geoscience and Remote Sensing 40 (11): 2375–2383. doi:10.1109/TGRS.2002.803792.
   Web of Science ®Google Scholar
• Bousbih, S., M. Zribi, Z. Lili-Chabaane, N. Baghdadi, M. El Hajj, Q. Gao, and B. Mougenot. 2017. “Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters.” Sensors 17 (11): 2617. doi:10.3390/s17112617.
   PubMed Web of Science ®Google Scholar
• Callens, M., N. E. C. Verhoest, and M. W. J. Davidson. 2006. “Parameterization of Tillage-induced Single-scale Soil Roughness from 4-m Profiles.” IEEE Transactions on Geoscience and Remote Sensing 44 (4): 878–888. doi:10.1109/TGRS.2005.860488.
   Web of Science ®Google Scholar
• Chai, X., T. Zhang, Y. Shao, H. Gong, L. Liu, and K. Xie. 2015. “Modeling and Mapping Soil Moisture of Plateau Pasture Using RADARSAT-2 Imagery.” Remote Sensing 7 (2): 1279–1299. doi:10.3390/rs70201279.
   Web of Science ®Google Scholar
• Champion, I. 1996. “Simple Modelling of Radar Backscattering Coefficient over a Bare Soil: Variation with Incidence Angle, Frequency and Polarization.” International Journal of Remote Sensing 17 (4): 783–800.
   Web of Science ®Google Scholar
• Choker, M., N. Baghdadi, M. Zribi, M. El Hajj, S. Paloscia, N. E. Verhoest, H. Lievens, and F. Mattia. 2017. “Evaluation of the Oh, Dubois and IEM Backscatter Models Using a Large Dataset of SAR Data and Experimental Soil Measurements.” Water 9 (1): 38. doi:10.3390/w9010038.
   Web of Science ®Google Scholar
• Davidson, M. W. J., F. Mattia, G. Satalino, N. E. C. Verhoest, T. Le Toan, M. Borgeaud, J. M. B. Louis, and E. Attema. 2003. “Joint Statistical Properties of RMS Height and Correlation Length Derived from Multisite 1-m Roughness Measurements.” IEEE Transactions on Geoscience and Remote Sensing 41 (7): 1651–1658. doi:10.1109/TGRS.2003.813361.
   Web of Science ®Google Scholar
• Dubois, P. C., J. Van Zyl, and T. Engman. 1995. “Measuring Soil Moisture with Imaging Radars.” IEEE Transactions on Geoscience and Remote Sensing 33 (4): 915–926. doi:10.1109/36.406677.
   Web of Science ®Google Scholar
• El Hajj, M., N. Baghdadi, J. P. Wigneron, M. Zribi, C. Albergel, J. C. Calvet, and I. Fayad. 2019. “First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields.” Remote Sensing 11 (23): 2769. doi:10.3390/rs11232769.
   Web of Science ®Google Scholar
• Entekhabi, D., R. H. Reichle, R. D. Koster, and W. T. Crow. 2010. “Performance Metrics for Soil Moisture Retrievals and Application Requirements.” Journal of Hydrometeorology 11 (3): 832–840. doi:10.1175/2010JHM1223.1.
   Web of Science ®Google Scholar
• Ezzahar, J., N. Ouaadi, M. Zribi, J. Elfarkh, G. Aouade, S. Khabba, S. Er-Raki, A. Chehbouni, and L. Jarlan. 2020. “Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data.” Remote Sensing 12 (1): 72. doi:10.3390/rs12010072.
   Web of Science ®Google Scholar
• Fung, A. K., Z. Li, and K.-S. Chen. 1992. “Backscattering from a Randomly Rough Dielectric Surface.” IEEE Transactions on Geoscience and Remote Sensing 30 (2): 356–369. doi:10.1109/36.134085.
   Web of Science ®Google Scholar
• Gherboudj, I., R. Magagi, A. A. Berg, and B. Toth. 2011. “Soil Moisture Retrieval over Agricultural Fields from Multi-polarized and Multi-angular RADARSAT-2 SAR Data.” Remote Sensing of Environment 115 (1): 33–43. doi:10.1016/j.rse.2010.07.011.
   Web of Science ®Google Scholar
• Hachani, A., M. Ouessar, S. Paloscia, E. Santi, and S. Pettinato. 2019. “Soil Moisture Retrieval from Sentinel-1 Acquisitions in an Arid Environment in Tunisia: Application of Artificial Neural Networks Techniques.” International Journal of Remote Sensing 40 (24): 9159–9180. doi:10.1080/01431161.2019.1629503.
   Web of Science ®Google Scholar
• Hajnsek, I., E. Pottier, and S. R. Cloude. 2003. “Inversion of Surface Parameters from Polarimetric SAR.” IEEE Transactions on Geoscience and Remote Sensing 41 (4): 727–744. doi:10.1109/TGRS.2003.810702.
   Web of Science ®Google Scholar
• Hajnsek, I., K. P. Papathanassiou, and S. R. Cloude. 2001. “L-and P-band for Surface Parameter Estimation.” In IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), vol. 6, 2775–2777. Sydney, NSW, Australia: IEEE.
   Google Scholar
• Holah, N., N. Baghdadi, M. Zribi, A. Bruand, and C. King. 2005. “Potential of ASAR/ENVISAT for the Characterization of Soil Surface Parameters over Bare Agricultural Fields.” Remote Sensing of Environment 96 (1): 78–86. doi:10.1016/j.rse.2005.01.008.
   Web of Science ®Google Scholar
• Hosseini, M., and M. R. Saradjian. 2011. “Soil Moisture Estimation Based on Integration of Optical and SAR Images.” Canadian Journal of Remote Sensing 37 (1): 112–121. doi:10.5589/m11-015.
   Web of Science ®Google Scholar
• Iodice, A., A. Natale, and D. Riccio. 2011. “Retrieval of Soil Surface Parameters via a Polarimetric Two-scale Model.” IEEE Transactions on Geoscience and Remote Sensing 49 (7): 2531–2547.
   Web of Science ®Google Scholar
• Jackson, T. J., A. J. Gasiewski, A. Oldak, E. G. Marian Klein, A. Y. Njoku, S. Christiani, and R. Bindlish. 2002. “Soil Moisture Retrieval Using the C-band Polarimetric Scanning Radiometer during the Southern Great Plains 1999 Experiment.” IEEE Transactions on Geoscience and Remote Sensing 40 (10): 2151–2161. doi:10.1109/TGRS.2002.802480.
   Web of Science ®Google Scholar
• Jackson, T. J., and M. H. Cosh. 2006. “SMEX03 Regional Ground Soil Moisture Data: Oklahoma.”
   Google Scholar
• Jackson, T. J., R. Bindlish, and R. Van der Velde. 2009. SMEX03 Airborne Synthetic Aperture Radar (AIRSAR) Data: Oklahoma, Version 1. Boulder, Colorado: NASA National Snow and Ice Data Center Distributed Active Archive Center.
   Google Scholar
• Kirimi, F., D. N. Kuria, F. Thonfeld, E. Amler, K. Mubea, S. Misana, and G. Menz. 2016. “Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania.”
   Google Scholar
• Li, X., Y. Zhou, P. Gong, K. C. Seto, and N. Clinton. 2020. “Developing a Method to Estimate Building Height from Sentinel-1 Data.” Remote Sensing of Environment 240: 111705. doi:10.1016/j.rse.2020.111705.
   Web of Science ®Google Scholar
• Liu, Y., Y. Yang, and X. Yue. 2018. “Evaluation of Satellite-based Soil Moisture Products over Four Different Continental In-situ Measurements.” Remote Sensing 10 (7): 1161. doi:10.3390/rs10071161.
   Web of Science ®Google Scholar
• Mahdavi, S., B. Salehi, M. Amani, J. E. Granger, B. Brisco, W. Huang, and A. Hanson. 2017. “Object-based Classification of Wetlands in Newfoundland and Labrador Using Multi-temporal PolSAR Data.” Canadian Journal of Remote Sensing 43 (5): 432–450. doi:10.1080/07038992.2017.1342206.
   Web of Science ®Google Scholar
• McNairn, H., J. B. Boisvert, D. J. Major, Q. H. J. Gwyn, R. J. Brown, and A. M. Smith. 1996. “Identification of Agricultural Tillage Practices from C-band Radar Backscatter.” Canadian Journal of Remote Sensing 22 (2): 154–162. doi:10.1080/07038992.1996.10874649.
   Google Scholar
• MirMazloumi, S. M., and M. R. Sahebi. 2016. “Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in Band C, L and P.” European Journal of Remote Sensing 49 (1): 261–278. doi:10.5721/EuJRS20164915.
   Web of Science ®Google Scholar
• Mirsoleimani, H. R., M. R. Sahebi, N. Baghdadi, and M. E. Hajj. 2019. “Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks.” Sensors 19 (14): 3209. doi:10.3390/s19143209.
   PubMed Web of Science ®Google Scholar
• Notarnicola, C., and R. Solorza. 2014. “Integration of Remotely Sensed Images and Electromagnetic Models into a Bayesian Approach for Soil Moisture Content Retrieval: Methodology and Effect of Prior Information.” Sensors 1 (4): 5–6
   Google Scholar
• Oh, Y. 2004. “Quantitative Retrieval of Soil Moisture Content and Surface Roughness from Multipolarized Radar Observations of Bare Soil Surfaces.” IEEE Transactions on Geoscience and Remote Sensing 42 (3): 596–601. doi:10.1109/TGRS.2003.821065.
   Web of Science ®Google Scholar
• Oh, Y., K. Sarabandi, and F. T. Ulaby. 1992. “An Empirical Model and an Inversion Technique for Radar Scattering from Bare Soil Surfaces.” IEEE Transactions on Geoscience and Remote Sensing 30 (2): 370–381. doi:10.1109/36.134086.
   Web of Science ®Google Scholar
• Paloscia, S., P. Pampaloni, S. Pettinato, and E. Santi. 2008. “A Comparison of Algorithms for Retrieving Soil Moisture from ENVISAT/ASAR Images.” IEEE Transactions on Geoscience and Remote Sensing 46 (10): 3274–3284. doi:10.1109/TGRS.2008.920370.
   Web of Science ®Google Scholar
• Petropoulos, G. P., G. Ireland, and B. Barrett. 2015. “Surface Soil Moisture Retrievals from Remote Sensing: Current Status, Products & Future Trends.” Physics and Chemistry of the Earth, Parts A/B/C 83: 36–56. doi:10.1016/j.pce.2015.02.009.
   Web of Science ®Google Scholar
• Rao, S. S., S. N. Das, M. S. S. Nagaraju, M. V. Venugopal, P. Rajankar, P. Laghate, M. S. Reddy, A. K. Joshi, and J. R. Sharma. 2013. “Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data.” Journal of the Indian Society of Remote Sensing 41 (4): 865–872. doi:10.1007/s12524-013-0274-3.
   Web of Science ®Google Scholar
• Sahebi, M. R., F. Bonn, and G. B. Bénié. 2004. “Neural Networks for the Inversion of Soil Surface Parameters from Synthetic Aperture Radar Satellite Data.” Canadian Journal of Civil Engineering 31 (1): 95–108. doi:10.1139/l03-079.
   Web of Science ®Google Scholar
• Sahebi, M. R., F. Bonn, and Q. H. J. Gwyn. 2003. “Estimation of the Moisture Content of Bare Soil from RADARSAT-1 SAR Using Simple Empirical Models.” International Journal of Remote Sensing 24 (12): 2575–2582. doi:10.1080/0143116031000072948.
   Web of Science ®Google Scholar
• Shepherd, N. 1997. “Extraction of Beta Nought and Sigma Nought from RADARSAT CDPF Products, Report No.” AS97–5001 30.
   Google Scholar
• Srivastava, S. K., R. K. Hawkins, T. I. Lukowski, B. T. Banik, M. Adamovic, and W. C. Jefferies. 1999. “RADARSAT image quality and calibration—Update.” Advances in Space Research 23 (8): 1487–1496
   Web of Science ®Google Scholar
• Sun, H., M. Shimada, and F. Xu. 2017. “Recent Advances in Synthetic Aperture Radar Remote Sensing—Systems, Data Processing, and Applications.” IEEE Geoscience and Remote Sensing Letters 14 (11): 2013–2016. doi:10.1109/LGRS.2017.2747602.
   Web of Science ®Google Scholar
• Taylor, K. E. 2001. “Summarizing Multiple Aspects of Model Performance in a Single Diagram.” Journal of Geophysical Research: Atmospheres 106 (D7): 7183–7192. doi:10.1029/2000JD900719.
   Web of Science ®Google Scholar
• Tofani, V., F. Raspini, F. Catani, and N. Casagli. 2013. “Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring.” Remote Sensing 5 (3): 1045–1065. doi:10.3390/rs5031045.
   Web of Science ®Google Scholar
• Toure, A., K. P. B. Thomson, G. Edwards, R. J. Brown, and B. Brisco. 1991. “Applying the MIMICS Backscattering Model in an Agricultural Context.” Canadian Journal of Remote Sensing 17 (4): 339–347. doi:10.1080/07038992.1991.10855303.
   Google Scholar
• Ulaby, F. T., P. C. Dubois, and J. Van Zyl. 1996. “Radar Mapping of Surface Soil Moisture.” Journal of Hydrology 184 (1–2): 57–84. doi:10.1016/0022-1694(95)02968-0.
   Web of Science ®Google Scholar
• Ulaby, F. T., and P. P. Batlivala. 1976. “Optimum Radar Parameters for Mapping Soil Moisture.” IEEE Transactions on Geoscience Electronics 14 (2): 81–93. doi:10.1109/TGE.1976.294414.
   Google Scholar
• Ulaby, F. T., R. K. Moore, and A. K. Fung. 1982. “Microwave Remote Sensing Active and Passive-volume II: Radar Remote Sensing and Surface Scattering and Enission Theory. No. BOOK.” Addison-Wesley Publishing CompanyAdvanced Book Program/World Science Division.
   Google Scholar
• Ulaby, F. T., R. K. Moore, and A. K. Fung. 1986. “Microwave Remote Sensing: Active and Passive. Volume 3-From Theory to Applications.”
   Google Scholar
• Verhoest, N. E. C., H. Lievens, W. Wagner, J. Álvarez-Mozos, M. S. Moran, and F. Mattia. 2008. “On the Soil Roughness Parameterization Problem in Soil Moisture Retrieval of Bare Surfaces from Synthetic Aperture Radar.” Sensors 8 (7): 4213–4248. doi:10.3390/s8074213.
   PubMed Web of Science ®Google Scholar
• Wang, L., and J. J. Qu. 2009. “Satellite Remote Sensing Applications for Surface Soil Moisture Monitoring: A Review.” Frontiers of Earth Science in China 3 (2): 237–247. doi:10.1007/s11707-009-0023-7.
   Google Scholar
• Wickel, A. J., T. J. Jackson, and E. F. Wood. 2001. “Multitemporal Monitoring of Soil Moisture with RADARSAT SAR during the 1997 Southern Great Plains Hydrology Experiment.” International Journal of Remote Sensing 22 (8): 1571–1583. doi:10.1080/01431160120291.
   Web of Science ®Google Scholar
• Zakharov, I., M. Kapfer, J. Hornung, S. Kohlsmith, T. Puestow, M. Howell, and M. D. Henschel. 2020. “Retrieval of Surface Soil Moisture from Sentinel-1 Time Series for Reclamation of Wetland Sites.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 3569–3578. doi:10.1109/JSTARS.2020.3004062.
   Web of Science ®Google Scholar
• Zhang, X., H. Zhang, C. Wang, Y. Tang, B. Zhang, F. Wu, J. Wang, and Z. Zhang. 2020. “Active Layer Thickness Retrieval over the Qinghai-Tibet Plateau Using Sentinel-1 Multitemporal InSAR Monitored Permafrost Subsidence and Temporal-Spatial Multilayer Soil Moisture Data.” IEEE Access 8: 84336–84351. doi:10.1109/ACCESS.2020.2988482.
   Web of Science ®Google Scholar
• Zribi, M., A. Gorrab, and N. Baghdadi. 2014. “A New Soil Roughness Parameter for the Modelling of Radar Backscattering over Bare Soil.” Remote Sensing of Environment 152: 62–73. doi:10.1016/j.rse.2014.05.009.
   Web of Science ®Google Scholar
• Zribi, M., A. Gorrab, N. Baghdadi, Z. Lili-Chabaane, and B. Mougenot. 2013. “Influence of Radar Frequency on the Relationship between Bare Surface Soil Moisture Vertical Profile and Radar Backscatter.” IEEE Geoscience and Remote Sensing Letters 11 (4): 848–852. doi:10.1109/LGRS.2013.2279893.
   Web of Science ®Google Scholar
• Zribi, M., and M. Dechambre. 2003. “A New Empirical Model to Retrieve Soil Moisture and Roughness from C-band Radar Data.” Remote Sensing of Environment 84 (1): 42–52. doi:10.1016/S0034-4257(02)00069-X.
   Web of Science ®Google Scholar
• Zribi, M. V., C. O. Taconet, J. Paillé, and P. Boissard. 2000. “Characterisation of the Soil Structure and Microwave Backscattering Based on Numerical Three-dimensional Surface Representation: Analysis with a Fractional Brownian Model.” Remote Sensing of Environment 72 (2): 159–169. doi:10.1016/S0034-4257(99)00097-8.
   Web of Science ®Google Scholar