M
Mahta Moghaddam
Researcher at University of Southern California
Publications - 364
Citations - 9875
Mahta Moghaddam is an academic researcher from University of Southern California. The author has contributed to research in topics: Radar & Synthetic aperture radar. The author has an hindex of 42, co-authored 350 publications receiving 7917 citations. Previous affiliations of Mahta Moghaddam include University of Michigan & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi,Eni G. Njoku,Peggy O'Neill,Kent Kellogg,Wade T. Crow,W. Edelstein,Jared Entin,Shawn D Goodman,Thomas J. Jackson,Joel T. Johnson,John S. Kimball,Jeffrey R. Piepmeier,Randal D. Koster,Neil R.W. Martin,Kyle C. McDonald,Mahta Moghaddam,Susan Moran,Rolf H. Reichle,Jiancheng Shi,Michael W. Spencer,Samuel W Thurman,Leung Tsang,Jakob van Zyl +22 more
TL;DR: The Soil Moisture Active Passive mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey to make global measurements of the soil moisture present at the Earth's land surface.
Journal ArticleDOI
Validation of SMAP surface soil moisture products with core validation sites
Andreas Colliander,Thomas J. Jackson,Rajat Bindlish,S. Chan,Narendra N. Das,Seung-Bum Kim,Michael H. Cosh,R. S. Dunbar,Lenny Dang,L. Pashaian,Jun Asanuma,Kentaro Aida,Aaron A. Berg,Tracy Rowlandson,David D. Bosch,Todd G. Caldwell,Kelly K. Caylor,David C. Goodrich,H. K. Al Jassar,Ernesto Lopez-Baeza,José Martínez-Fernández,A. Gonzalez-Zamora,Stan Livingston,H. McNairn,A. Pacheco,Mahta Moghaddam,Carsten Montzka,Claudia Notarnicola,Georg Niedrist,Thierry Pellarin,John H. Prueger,Jouni Pulliainen,Kimmo Rautiainen,J. Ramos,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,Yijian Zeng,R. van der Velde,M. Thibeault,Wouter Dorigo,Mariette Vreugdenhil,Jeffrey P. Walker,Xiaoling Wu,Alessandra Monerris,Peggy O'Neill,Dara Entekhabi,Eni G. Njoku,Simon Yueh +48 more
TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
Journal ArticleDOI
Vegetation characteristics and underlying topography from interferometric radar
TL;DR: In this article, a method for extracting vegetation characteristics and underlying ground surface topography from interferometric synthetic aperture radar (INSAR) data is presented, where the electromagnetic scattering and radar processing are modeled, vegetation and topographic parameters are identified for estimation, the parameter errors are assessed in terms of INSAR instrumental performance, and the parameter estimation is compared to ground truth.
Journal ArticleDOI
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,Stéphane Bélair,Aaron A. Berg,Paul R. Bullock,Andreas Colliander,Michael H. Cosh,Seung-Bum Kim,Ramata Magagi,Mahta Moghaddam,Eni G. Njoku,Justin R. Adams,Saeid Homayouni,Emmanuel Ojo,Tracy Rowlandson,Jiali Shang,Kalifa Goïta,Mehdi Hosseini +18 more
TL;DR: Early results from the SMAP active radar retrieval methods are presented and demonstrate that relative and absolute soil moisture can be delivered by this approach.
Journal ArticleDOI
Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements
Rolf H. Reichle,Gabrielle De Lannoy,Qing Liu,Joseph V. Ardizzone,Andreas Colliander,Austin Conaty,Wade T. Crow,Thomas J. Jackson,Lucas A. Jones,John S. Kimball,Randal D. Koster,Sarith Mahanama,Edmond B. Smith,Aaron A. Berg,Simone Bircher,David D. Bosch,Todd G. Caldwell,Michael H. Cosh,A. Gonzalez-Zamora,Chandra Holifield Collins,Karsten Høgh Jensen,Stan Livingston,Ernesto Lopez-Baeza,José Martínez-Fernández,H. McNairn,Mahta Moghaddam,A. Pacheco,Thierry Pellarin,John H. Prueger,Tracy Rowlandson,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,M. Thibeault,Rogier van der Velde,Jeffrey P. Walker,Xiaoling Wu,Yijian Zeng +37 more
TL;DR: The Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model as mentioned in this paper.