Evaluation of Radar Backscattering Models IEM, OH, and Dubois using L and C-Bands SAR Data over different vegetation canopy covers and soil depths

12 citations as recorded by crossref.

1. Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania F. Kirimi et al. https://doi.org/10.4236/ars.2016.51003
2. Derivation of Soil Moisture using Modified Dubois Model with field assisted surface roughness on RISAT-1 data T. Palanisamy & V. R https://doi.org/10.15446/esrj.v22n1.59972
3. The Discrepancy Between Backscattering Model Simulations and Radar Observations Caused by Scaling Issues: An Uncertainty Analysis C. Ma et al. https://doi.org/10.1109/TGRS.2019.2899120
4. Evaluation of the Potential for Estimating Backscattering Coefficients over Bare Agricultural Soils at the Intra-Plot Scale R. Fieuzal & F. Baup https://doi.org/10.3390/app15041827
5. Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Q. Liu et al. https://doi.org/10.3390/s22041611
6. Evaluation of Radar/Optical Based Vegetation Descriptors in Water Cloud Model for Soil Moisture Retrieval S. Chaudhary et al. https://doi.org/10.1109/JSEN.2021.3099937
7. Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region D. Sahadevan et al. https://doi.org/10.1007/s12524-019-00998-4
8. Uncertainty Quantification of Soil Moisture Estimations Based on a Bayesian Probabilistic Inversion C. Ma et al. https://doi.org/10.1109/TGRS.2017.2664078
9. Soil Moisture Mapping Along Climatic Gradient by Dual-Polarization Sentinel-1 C-Band Data J. Chang et al. https://doi.org/10.1109/LGRS.2023.3236036
10. Estimation of Peatland Distribution Using Ratio Dual-pol from Sentinel-1A S. Putiamini et al. https://doi.org/10.1088/1755-1315/280/1/012012
11. Assessing the potential of water cloud model and machine learning algorithms in estimating leaf area index of wheat at different growth stages using Sentinel-1 SAR data S. Dey et al. https://doi.org/10.1016/j.asr.2025.09.003
12. Application of sentinel-1 SAR-derived vegetation descriptors for soil moisture retrieval and plant height prediction during the wheat growth cycle R. Dave et al. https://doi.org/10.1080/01431161.2023.2170193