Articles | Volume 14, issue 11
https://doi.org/10.5194/hess-14-2355-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-2355-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
30 Nov 2010
An inversion method based on multi-angular approaches for estimating bare soil surface parameters from RADARSAT-1
M. R. Sahebi
Geomatics Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran
J. Angles
VEGA Technologies – Finmeccanica Group, Toulouse, France
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Cited
29 citations as recorded by crossref.
- Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation L. Zhu et al. 10.1016/j.rse.2023.113466
- Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data S. Srinivasa Rao et al. 10.1007/s12524-013-0274-3
- Multi‐angular ground‐based SAR system for soil surface roughness characterisation H. Wang et al. 10.1049/el.2015.1619
- Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data A. Ghorbanian et al. 10.1016/j.crte.2018.11.005
- A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model . Chunfeng Ma et al. 10.1109/TGRS.2015.2426194
- Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data Q. Yin et al. 10.1080/01431161.2022.2088259
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al. 10.1080/10106049.2021.2003443
- Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions A. Singh et al. 10.1109/ACCESS.2023.3243635
- The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China X. Zhang et al. 10.3390/rs8010007
- Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland A. Singh et al. 10.1016/j.jag.2022.102892
- Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area H. Wang et al. 10.1016/j.rse.2017.07.008
- Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models Q. Yin et al. 10.3390/rs13224503
- Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model L. Sun et al. 10.1029/2019WR025163
- Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data R. Dave et al. 10.1080/10106049.2019.1655801
- Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Q. Liu et al. 10.3390/s22041611
- Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery L. Zhu et al. 10.1016/j.rse.2019.02.027
- 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
- Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images M. Mardan & S. Ahmadi 10.1080/15481603.2021.1974276
- Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data A. Collingwood et al. 10.1155/2018/5712046
- Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in band C, L and P S. MirMazloumi & M. Sahebi 10.5721/EuJRS20164915
- Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region D. Sahadevan et al. 10.1007/s12524-019-00998-4
- Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas J. Lee et al. 10.1080/10106049.2021.2017009
- Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications K. Kornelsen & P. Coulibaly 10.1016/j.jhydrol.2012.10.044
- Refining a Polarimetric Decomposition of Multi-Angular UAVSAR Time Series for Soil Moisture Retrieval Over Low and High Vegetated Agricultural Fields H. Wang et al. 10.1109/JSTARS.2019.2909984
- Estimation of soil organic carbon by combining hyperspectral and radar remote sensing to reduce coupling effects of soil surface moisture and roughness R. Jiang et al. 10.1016/j.geoderma.2024.116874
- Surface soil moisture retrieval based on transfer learning using SAR data on a local scale E. Hemmati & M. Sahebi 10.1080/01431161.2024.2329529
- Sensitive Feature Evaluation for Soil Moisture Retrieval Based on Multi-Source Remote Sensing Data with Few In-Situ Measurements: A Case Study of the Continental U.S. L. Zhang et al. 10.3390/w13152003
- Comparison of backscattering soil surface models to validate and inversion physical parameters S. MirMazloumi & M. Sahebi 10.29252/jgit.4.1.1
- Soil Moisture Estimation Under Low Vegetation Cover Using a Multi-Angular Polarimetric Decomposition T. Jagdhuber et al. 10.1109/TGRS.2012.2209433
27 citations as recorded by crossref.
- Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation L. Zhu et al. 10.1016/j.rse.2023.113466
- Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data S. Srinivasa Rao et al. 10.1007/s12524-013-0274-3
- Multi‐angular ground‐based SAR system for soil surface roughness characterisation H. Wang et al. 10.1049/el.2015.1619
- Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data A. Ghorbanian et al. 10.1016/j.crte.2018.11.005
- A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model . Chunfeng Ma et al. 10.1109/TGRS.2015.2426194
- Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data Q. Yin et al. 10.1080/01431161.2022.2088259
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al. 10.1080/10106049.2021.2003443
- Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions A. Singh et al. 10.1109/ACCESS.2023.3243635
- The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China X. Zhang et al. 10.3390/rs8010007
- Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland A. Singh et al. 10.1016/j.jag.2022.102892
- Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area H. Wang et al. 10.1016/j.rse.2017.07.008
- Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models Q. Yin et al. 10.3390/rs13224503
- Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model L. Sun et al. 10.1029/2019WR025163
- Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data R. Dave et al. 10.1080/10106049.2019.1655801
- Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Q. Liu et al. 10.3390/s22041611
- Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery L. Zhu et al. 10.1016/j.rse.2019.02.027
- 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
- Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images M. Mardan & S. Ahmadi 10.1080/15481603.2021.1974276
- Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data A. Collingwood et al. 10.1155/2018/5712046
- Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in band C, L and P S. MirMazloumi & M. Sahebi 10.5721/EuJRS20164915
- Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region D. Sahadevan et al. 10.1007/s12524-019-00998-4
- Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas J. Lee et al. 10.1080/10106049.2021.2017009
- Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications K. Kornelsen & P. Coulibaly 10.1016/j.jhydrol.2012.10.044
- Refining a Polarimetric Decomposition of Multi-Angular UAVSAR Time Series for Soil Moisture Retrieval Over Low and High Vegetated Agricultural Fields H. Wang et al. 10.1109/JSTARS.2019.2909984
- Estimation of soil organic carbon by combining hyperspectral and radar remote sensing to reduce coupling effects of soil surface moisture and roughness R. Jiang et al. 10.1016/j.geoderma.2024.116874
- Surface soil moisture retrieval based on transfer learning using SAR data on a local scale E. Hemmati & M. Sahebi 10.1080/01431161.2024.2329529
- Sensitive Feature Evaluation for Soil Moisture Retrieval Based on Multi-Source Remote Sensing Data with Few In-Situ Measurements: A Case Study of the Continental U.S. L. Zhang et al. 10.3390/w13152003
2 citations as recorded by crossref.
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