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.
- PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence A. Singh & K. Gaurav
- Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation L. Zhu et al.
- Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data S. Srinivasa Rao et al.
- Multi‐angular ground‐based SAR system for soil surface roughness characterisation H. Wang et al.
- Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data A. Ghorbanian et al.
- A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model . Chunfeng Ma et al.
- Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data Q. Yin et al.
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al.
- 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.
- The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China X. Zhang et al.
- Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland A. Singh et al.
- Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area H. Wang et al.
- Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models Q. Yin et al.
- Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data R. Dave et al.
- Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Q. Liu et al.
- Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery L. Zhu et al.
- 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.
- Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images M. Mardan & S. Ahmadi
- Estimation of Topsoil Moisture on Bare Agricultural Soils at the Intra-Plot Spatial Scale Using a Statistical Algorithm and X- and C-Bands SAR Satellite Data R. Fieuzal & F. Baup
- Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data A. Collingwood et al.
- Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in band C, L and P S. MirMazloumi & M. Sahebi
- Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region D. Sahadevan et al.
- Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas J. Lee et al.
- Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications K. Kornelsen & P. Coulibaly
- 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.
- 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.
- Surface soil moisture retrieval based on transfer learning using SAR data on a local scale E. Hemmati & M. Sahebi
- Approaches for Assessment of Soil Moisture with Conventional Methods, Remote Sensing, UAV, and Machine Learning Methods—A Review S. Haokip et al.
- 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.
29 citations as recorded by crossref.
- PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence A. Singh & K. Gaurav
- Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation L. Zhu et al.
- Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data S. Srinivasa Rao et al.
- Multi‐angular ground‐based SAR system for soil surface roughness characterisation H. Wang et al.
- Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data A. Ghorbanian et al.
- A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model . Chunfeng Ma et al.
- Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data Q. Yin et al.
- Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI P. Thanabalan et al.
- 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.
- The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China X. Zhang et al.
- Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland A. Singh et al.
- Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area H. Wang et al.
- Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models Q. Yin et al.
- Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data R. Dave et al.
- Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization Q. Liu et al.
- Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery L. Zhu et al.
- 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.
- Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images M. Mardan & S. Ahmadi
- Estimation of Topsoil Moisture on Bare Agricultural Soils at the Intra-Plot Spatial Scale Using a Statistical Algorithm and X- and C-Bands SAR Satellite Data R. Fieuzal & F. Baup
- Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data A. Collingwood et al.
- Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in band C, L and P S. MirMazloumi & M. Sahebi
- Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region D. Sahadevan et al.
- Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas J. Lee et al.
- Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications K. Kornelsen & P. Coulibaly
- 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.
- 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.
- Surface soil moisture retrieval based on transfer learning using SAR data on a local scale E. Hemmati & M. Sahebi
- Approaches for Assessment of Soil Moisture with Conventional Methods, Remote Sensing, UAV, and Machine Learning Methods—A Review S. Haokip et al.
- 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.
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