63 citations as recorded by crossref.

1. Multisensoral Topsoil Mapping in the Semiarid Lake Manyara Region, Northern Tanzania F. Bachofer et al. 10.3390/rs70809563
2. Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data J. Ezzahar et al. 10.3390/rs12010072
3. Estimation of Soil Moisture in Vegetation-Covered Floodplains with Sentinel-1 SAR Data Using Support Vector Regression A. Holtgrave et al. 10.1007/s41064-018-0045-4
4. Soil roughness retrieval from TerraSar-X data using neural network and fractal method M. Maleki et al. 10.1016/j.asr.2019.04.019
5. Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data I. Ali et al. 10.3390/rs71215841
6. Evaluation of Radarsat-2 quad-pol SAR time-series images for monitoring groundwater irrigation A. Sharma et al. 10.1080/17538947.2019.1604834
7. Combined Use of Sentinel-1 SAR and Landsat Sensors Products for Residual Soil Moisture Retrieval over Agricultural Fields in the Upper Blue Nile Basin, Ethiopia G. Ayehu et al. 10.3390/s20113282
8. Estimation of Multi-Frequency, Multi-Incidence and Multi-Polarization Backscattering Coefficients over Bare Agricultural Soil Using Statistical Algorithms R. Fieuzal & F. Baup 10.3390/app13084893
9. Combining Machine Learning and Compact Polarimetry for Estimating Soil Moisture from C-Band SAR Data E. Santi et al. 10.3390/rs11202451
10. Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping O. Yuzugullu et al. 10.3390/rs12071116
11. Potential of Sentinel-1 Images for Estimating the Soil Roughness over Bare Agricultural Soils N. Baghdadi et al. 10.3390/w10020131
12. Analysis of multi-frequency and multi-polarization SAR data for wetland mapping in Hamoun-e-Hirmand wetland S. Maleki et al. 10.1080/01431161.2019.1688414
13. Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data M. Hajj et al. 10.3390/rs61010002
14. Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models Q. Yin et al. 10.3390/rs13224503
15. Simulation of future groundwater recharge using a climate model ensemble and SAR-image based soil parameter distributions — A case study in an intensively-used Mediterranean catchment F. Herrmann et al. 10.1016/j.scitotenv.2015.07.036
16. Physics-Informed Neural Networks for Predicting Liquid Dairy Manure Temperature During Storage R. Genedy et al. 10.2139/ssrn.4017090
17. Soil Moisture Inversion Via Semiempirical and Machine Learning Methods With Full-Polarization Radarsat-2 and Polarimetric Target Decomposition Data: A Comparative Study H. Acar et al. 10.1109/ACCESS.2020.3035235
18. Investigation of Multi-Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model E. Ayari et al. 10.3390/s22020580
19. Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution Q. Gao et al. 10.3390/s17091966
20. The Impact of Acquisition Date on the Prediction Performance of Topsoil Organic Carbon from Sentinel-2 for Croplands E. Vaudour et al. 10.3390/rs11182143
21. Drought impact detection on wetlands in the arid area using Synthetic Aperture Radar data S. Maleki et al. 10.1007/s12517-022-10171-w
22. Soil moisture modeling over agricultural fields using C-band synthetic aperture radar and modified Dubois model M. Munda & B. Parida 10.1007/s12518-023-00489-9
23. Estimation of surface soil moisture from Sentinel-1 synthetic aperture radar imagery using machine learning method Ü. Bulut et al. 10.1016/j.rsase.2024.101369
24. Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review S. Adeli et al. 10.3390/rs12142190
25. Machine Learning to Estimate Surface Roughness from Satellite Images A. Singh et al. 10.3390/rs13193794
26. An improved method for estimating soil moisture over cropland using SAR and optical data D. Luo et al. 10.1007/s12145-023-00996-8
27. Evaluation of soil moisture estimation techniques based on Sentinel-1 observations over wheat fields M. Arias et al. 10.1016/j.agwat.2023.108422
28. Analysis of Seasonal Driving Factors and Inversion Model Optimization of Soil Moisture in the Qinghai Tibet Plateau Based on Machine Learning Q. Deng et al. 10.3390/w15162859
29. A New Empirical Model for Radar Scattering from Bare Soil Surfaces N. Baghdadi et al. 10.3390/rs8110920
30. Comparative analysis of the accuracy of surface soil moisture estimation from the C- and L-bands M. El Hajj et al. 10.1016/j.jag.2019.05.021
31. Soil Moisture Monitoring Using Remote Sensing Data and a Stepwise-Cluster Prediction Model: The Case of Upper Blue Nile Basin, Ethiopia G. Ayehu et al. 10.3390/rs11020125
32. Towards an object-based multi-scale soil moisture product using coupled Sentinel-1 and Sentinel-2 data R. Attarzadeh & J. Amini 10.1080/2150704X.2019.1590872
33. L-Band UAVSAR Tomographic Imaging in Dense Forests: Gabon Forests I. El Moussawi et al. 10.3390/rs11050475
34. Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation S. Paloscia et al. 10.1016/j.rse.2013.02.027
35. Potential of Sentinel-1 Surface Soil Moisture Product for Detecting Heavy Rainfall in the South of France H. Bazzi et al. 10.3390/s19040802
36. Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands N. Baghdadi et al. 10.3390/rs9090969
37. Combined Use of GF-3 and Landsat-8 Satellite Data for Soil Moisture Retrieval over Agricultural Areas Using Artificial Neural Network Q. Meng et al. 10.1155/2018/9315132
38. Assessment of Carbon Flux and Soil Moisture in Wetlands Applying Sentinel-1 Data K. Dabrowska-Zielinska et al. 10.3390/rs8090756
39. Soil moisture retrieval over irrigated grassland using X-band SAR data M. El Hajj et al. 10.1016/j.rse.2016.01.027
40. Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images G. Arancibia et al. 10.1109/ACCESS.2021.3053767
41. Establishing an Empirical Model for Surface Soil Moisture Retrieval at the U.S. Climate Reference Network Using Sentinel-1 Backscatter and Ancillary Data S. Chatterjee et al. 10.3390/rs12081242
42. Novel Weight-Based Approach for Soil Moisture Content Estimation via Synthetic Aperture Radar, Multispectral and Thermal Infrared Data Fusion O. Yahia et al. 10.3390/s21103457
43. Penetration Analysis of SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands M. El Hajj et al. 10.3390/rs11010031
44. Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks J. Liu et al. 10.3390/s21030877
45. Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands N. Baghdadi et al. 10.1109/JSTARS.2015.2464698
46. Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering N. Baghdadi et al. 10.3390/rs71013626
47. Integration of L-Band Derived Soil Roughness into a Bare Soil Moisture Retrieval Approach from C-Band SAR Data M. Hamze et al. 10.3390/rs13112102
48. Remote sensing for mapping soil moisture and drainage potential in semi-arid regions: Applications to the Campidano plain of Sardinia, Italy R. Filion et al. 10.1016/j.scitotenv.2015.07.068
49. Estimation of rice grain yield from dual-polarization Radarsat-2 SAR data by integrating a rice canopy scattering model and a genetic algorithm Y. Zhang et al. 10.1016/j.jag.2016.12.014
50. Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) H. Sellami et al. 10.5194/hess-18-2393-2014
51. Rice Biomass Estimation Using Radar Backscattering Data at S-band M. Jia et al. 10.1109/JSTARS.2013.2282641
52. Integration of remote sensing derived parameters in crop models: Application to the PILOTE model for hay production M. EL HAJJ et al. 10.1016/j.agwat.2016.05.017
53. Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters S. Bousbih et al. 10.3390/s17112617
54. Estimating Soil Moisture over Winter Wheat Fields during Growing Season Using RADARSAT-2 Data L. Chen et al. 10.3390/rs14092232
55. Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France M. El Hajj et al. 10.3390/rs10040569
56. Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks H. Mirsoleimani et al. 10.3390/s19143209
57. Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas M. El Hajj et al. 10.3390/rs9121292
58. Estimation of Surface Soil Moisture during Corn Growth Stage from SAR and Optical Data Using a Combined Scattering Model L. Zhang et al. 10.3390/rs12111844
59. Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland K. Millard & M. Richardson 10.1016/j.rse.2017.12.011
60. Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized Regression Neural Network M. Özerdem et al. 10.3390/rs9040395
61. Coupling Model-Driven and Data-Driven Methods for Estimating Soil Moisture Over Bare Surfaces With Sentinel-1A Dual-Polarized Data H. Yang et al. 10.1109/JSTARS.2023.3275995
62. A Hybrid (Multi-Angle and Multipolarization) Approach to Soil Moisture Retrieval Using the Integral Equation Model: Preparing for the RADARSAT Constellation Mission A. Merzouki & H. McNairn 10.1080/07038992.2015.1104629
63. Combined Sentinel-1A With Sentinel-2A to Estimate Soil Moisture in Farmland Y. Liu et al. 10.1109/JSTARS.2020.3043628