World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
12206
World Ranking
2897
National Ranking
1100

Environmental Sciences

D-Index
52
Citations
13301
World Ranking
4405
National Ranking
1638

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For development of physics-based computational algorithms for mapping of subsurface characteristics.
  • 2009 - IEEE Fellow For contributions to forward and inverse scattering techniques for radar remote sensing

Overview

Mahta Moghaddam is affiliated with the University of Southern California in the United States. Their research spans multiple fields, with a concentration on Earth and Planetary Sciences and Engineering. Within these broad categories, Moghaddam has published extensively in subfields such as Atmospheric Science, Environmental Engineering, Aerospace Engineering, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's work focuses on key topics including Soil Moisture and Remote Sensing, Climate Change and Permafrost, Cryospheric Studies and Observations, Precipitation Measurement and Analysis, Synthetic Aperture Radar (SAR) Applications and Techniques, Geophysical Methods and Applications, and Microwave Imaging and Scattering Analysis.

Moghaddam has contributed to numerous high-impact journals and conferences. Frequent publication venues include:

  • IEEE Antennas and Propagation Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Environmental Research Letters

Collaboration is a notable aspect of Moghaddam's research activity. Their frequent co-authors include Kazem Bakian-Dogaheh, John S. Kimball, Simon Yueh, Ashwin K. Iyer, and Anisha Apte.

Representative recent publications by Moghaddam include:

  • The International Soil Moisture Network: serving Earth system science for over a decade (2021, Hydrology and Earth System Sciences)
  • Validation of Soil Moisture Data Products From the NASA SMAP Mission (2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
  • Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks (2020, Nature Communications)
  • Comprehensive analysis of alternative downscaled soil moisture products (2020, Remote Sensing of Environment)
  • Active layer thickness as a function of soil water content (2021, Environmental Research Letters)

Moghaddam's contributions have been recognized through awards such as election to the National Academy of Engineering in 2019 for the development of physics-based computational algorithms for subsurface mapping. Additionally, they were named an IEEE Fellow in 2009 for work related to forward and inverse scattering techniques for radar remote sensing.

Best Publications

  • The Soil Moisture Active Passive (SMAP) Mission

    Dara Entekhabi;Eni G Njoku;Peggy E O'Neill;Kent H Kellogg

  • Validation of SMAP surface soil moisture products with core validation sites

    A. Colliander;T.J. Jackson;R. Bindlish;S. Chan

  • Vegetation characteristics and underlying topography from interferometric radar

    Robert N. Treuhaft;Søren N. Madsen;Mahta Moghaddam;Jakob J. van Zyl

  • The International Soil Moisture Network: Serving Earth system science for over a decade

    Wouter Dorigo;Irene Himmelbauer;Daniel Aberer;Lukas Schremmer

  • Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

    Rolf H. Reichle;Gabrielle J. M. De Lannoy;Qing Liu;Joseph V. Ardizzone

  • The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

    Heather McNairn;Thomas J. Jackson;Grant Wiseman;Stephane Belair

  • SMAP Handbook–Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw from Space

    Dara Entekhabi;Simon Yueh;Peggy E O’Neill;Kent H Kellogg

  • Bistatic scattering from three-dimensional layered rough surfaces

    A. Tabatabaeenejad;M. Moghaddam

  • Estimation of crown and stem water content and biomass of boreal forest using polarimetric SAR imagery

    S.S. Saatchi;M. Moghaddam

  • Radiative transfer model for microwave bistatic scattering from forest canopies

    Pan Liang;Leland E. Pierce;Mahta Moghaddam

  • Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia

    Richard M. Lucas;Natasha Cronin;Alex Lee;Mahta Moghaddam

  • A Preclinical System Prototype for Focused Microwave Thermal Therapy of the Breast

    John Stang;Mark Haynes;Paul Carson;Mahta Moghaddam

  • Real-time Microwave Imaging of Differential Temperature for Thermal Therapy Monitoring

    Mark Haynes;John Stang;Mahta Moghaddam

  • Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval

    Seung-Bum Kim;Mahta Moghaddam;Leung Tsang;Mariko Burgin

  • P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results

    Alireza Tabatabaeenejad;Mariko Burgin;Xueyang Duan;Mahta Moghaddam

  • A Wireless Soil Moisture Smart Sensor Web Using Physics-Based Optimal Control: Concept and Initial Demonstrations

    M Moghaddam;D Entekhabi;Y Goykhman;Ke Li

  • Nonlinear two-dimensional velocity profile inversion using time domain data

    M. Moghaddam;W.C. Chew

  • Mapping vegetated wetlands of Alaska using L-band radar satellite imagery

    Jane Whitcomb;Mahta Moghaddam;Kyle McDonald;Josef Kellndorfer

  • The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root Zone Soil Moisture

    Ke Zhang;Ashehad Ali;Alexander Antonarakis;Mahta Moghaddam

  • HUMAN ACTIVITY RECOGNITION USING MAGNETIC INDUCTION-BASED MOTION SIGNALS AND DEEP RECURRENT NEURAL NETWORKS

    Negar Golestani;Mahta Moghaddam

  • Study of some practical issues in inversion with the Born iterative method using time-domain data

    M. Moghaddam;W.C. Chew

Frequent Co-Authors

Weng Cho Chew
Weng Cho Chew Purdue University West Lafayette
Richard Lucas
Richard Lucas Aberystwyth University
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor
Aaron A. Berg
Aaron A. Berg University of Guelph
Michael H. Cosh
Michael H. Cosh Agricultural Research Service
Kyle C. McDonald
Kyle C. McDonald City College of New York
Thomas J. Jackson
Thomas J. Jackson Agricultural Research Service
John S. Kimball
John S. Kimball University of Montana
Eni G. Njoku
Eni G. Njoku Jet Propulsion Lab

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