Alireza Tabatabaeenejad
Orcid: 0000-0002-5098-8526
According to our database1,
Alireza Tabatabaeenejad
authored at least 37 papers
between 2004 and 2023.
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Bibliography
2023
The Potential of Low-Frequency Polarimetric SAR Data for Soil Carbon Content Retrieval in the Arctic.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetry.
Remote. Sens., 2022
2021
Complex Permittivity and Penetration Depth Estimation from Airborne P-Band SAR Data Applying a Hybrid Decomposition Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
Retrieving Root-Zone Soil Moisture Profile From P-Band Radar via Hybrid Global and Local Optimization.
IEEE Trans. Geosci. Remote. Sens., 2020
Mapping Tree Canopy Cover and Canopy Height with L-Band SAR Using LiDAR Data and Random Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Retrieval of Permafrost Active Layer Properties Using Time-Series P-Band Radar Observations.
IEEE Trans. Geosci. Remote. Sens., 2019
Modeling and Retrieving Soil Moisture and Organic Matter Profiles in the Active Layer of Permafrost Soils From P-Band Radar Observations.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Experimental Investigation of the Coupled Hydraulic and Low-Frequency Dielectric Behavior of the Arctic Permafrost Active Layer Organic Soil.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Spatial and Temporal Variability of Root-Zone Soil Moisture Acquired From Hydrologic Modeling and AirMOSS P-Band Radar.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Analysis of Permafrost Active Layer Soil Heterogeneity in Support of Radar Retrievals.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
P-Band Radar Retrieval of Permafrost Active Layer Properties: Time-Series Approach and Validation with In-Situ Observations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation.
Remote. Sens., 2017
Retrieval of AirMOSS root-zone soil moisture profile with a richards' equation-based approach.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Retrieval of permafrost active layer properties using P-band airmoss and L-band UAVSAR data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
A time-series active layer thickness retrieval algorithm using P- and L-band SAR observations.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results.
IEEE Trans. Geosci. Remote. Sens., 2015
2013
Coherent Scattering of Electromagnetic Waves From Two-Layer Rough Surfaces Within the Kirchhoff Regime.
IEEE Trans. Geosci. Remote. Sens., 2013
Scaling analysis of heterogneity in support of soil moisture retrieval at landscape level for low-frequency radars.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests.
IEEE Trans. Geosci. Remote. Sens., 2012
ADvances in radar forward and inverse scattering models of subsurface and subcanopy soil moisture and their role for the AirMOSS mission.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
A generalized radar scattering model for multispecies forests with multilayer subsurface soil.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Radar Retrieval of Surface and Deep Soil Moisture and Effect of Moisture Profile on Inversion Accuracy.
IEEE Geosci. Remote. Sens. Lett., 2011
Retrieval of soil moisture and vegetation canopy parameters with L-band radar for a range of boreal forests.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
IEEE Geosci. Remote. Sens. Lett., 2010
2009
Inversion of Subsurface Properties of Layered Dielectric Structures With Random Slightly Rough Interfaces Using the Method of Simulated Annealing.
IEEE Trans. Geosci. Remote. Sens., 2009
Comparison of Gaussian and Rayleigh Noise Models in Inversion of Subsurface Parameters of Layered Rough Surfaces using Simulated Annealing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Sensitivity Analysis of the Simulated Annealing Method to Measurement Noise for the Inversion of Subsurface Parameters of Two Layer Rough Surfaces.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Inversion of a layered rough surface model: maximizing the number of retrievable parameters for the design of future subsurface sensing radar systems.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2006
IEEE Trans. Geosci. Remote. Sens., 2006
Inversion of Parameters of a Layered Rough Surface by a New Approach to the Simulated Annealing Method.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2005
VHF scattering model from multilayer mixed species forests on top of a multilayer rough ground.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
2004
Backscattering of electromagnetic waves from layered rough surfaces and its application in estimating deep soil moisture.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004