2016 - IEEE Fellow For contributions to the remote sensing of soil moisture
Peggy E. O'Neill focuses on Water content, Remote sensing, Radiometer, Brightness temperature and Soil water. Her Water content study introduces a deeper knowledge of Hydrology. Her research investigates the connection with Remote sensing and areas like Radar imaging which intersect with concerns in Synthetic aperture radar and Drainage basin.
Her Radiometer study integrates concerns from other disciplines, such as Soil map, Meteorology and Radiometry. Her Soil map study combines topics in areas such as Atmosphere and Data assimilation. Her study in Brightness temperature is interdisciplinary in nature, drawing from both Moisture and Atmospheric sciences.
Peggy E. O'Neill mostly deals with Water content, Remote sensing, Radiometer, Soil science and Brightness temperature. Her Water content study which covers Moisture that intersects with Scale. Her Remote sensing study typically links adjacent topics like Meteorology.
When carried out as part of a general Radiometer research project, her work on Microwave radiometer is frequently linked to work in National Snow and Ice Data Center, therefore connecting diverse disciplines of study. Her Soil science research is multidisciplinary, incorporating perspectives in Infiltration and Dielectric. She has researched Brightness temperature in several fields, including Ancillary data and Atmospheric sciences.
Peggy E. O'Neill mainly focuses on Water content, Remote sensing, Radiometer, Active passive and Brightness temperature. The study incorporates disciplines such as Soil science, Atmospheric sciences and Backscatter in addition to Water content. Her Remote sensing study frequently draws parallels with other fields, such as Soil water.
Her Radiometer study frequently intersects with other fields, such as Atmosphere. Her studies deal with areas such as Data products and Vegetation optical depth as well as Active passive. Her Brightness temperature research includes elements of Soil map, Meteorology, Retrieval algorithm and Earth observation.
Her main research concerns Remote sensing, Water content, Brightness temperature, Radiometer and Calibration. In general Remote sensing study, her work on L band often relates to the realm of Polarimetry and Image resolution, thereby connecting several areas of interest. Her study in Water content focuses on Active passive in particular.
The various areas that Peggy E. O'Neill examines in her Brightness temperature study include Soil water, Meteorology and Retrieval algorithm. Her Radiometer study frequently draws connections to other fields, such as Soil map. The concepts of her Terrain study are interwoven with issues in Synthetic aperture radar and Soil science.
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The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi;Eni G Njoku;Peggy E O'Neill;Kent H Kellogg.
Proceedings of the IEEE (2010)
Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data
Jiancheng Shi;J. Wang;A.Y. Hsu;P.E. O'Neill.
IEEE Transactions on Geoscience and Remote Sensing (1997)
Validation of SMAP surface soil moisture products with core validation sites
A. Colliander;T.J. Jackson;R. Bindlish;S. Chan.
Remote Sensing of Environment (2017)
Assessment of the SMAP Passive Soil Moisture Product
Steven K. Chan;Rajat Bindlish;Peggy E. O'Neill;Eni Njoku.
IEEE Transactions on Geoscience and Remote Sensing (2016)
Passive Microwave Soil Moisture Research
Thomas Schmugge;Peggy E. O'Neill;James R. Wang.
IEEE Transactions on Geoscience and Remote Sensing (1986)
Multifrequency Measurements of the Effects of Soil Moisture, Soil Texture, And Surface Roughness
James R. Wang;Peggy E. O'Neill;Thomas J. Jackson;Edwin T. Engman.
IEEE Transactions on Geoscience and Remote Sensing (1983)
The hydrosphere State (hydros) Satellite mission: an Earth system pathfinder for global mapping of soil moisture and land freeze/thaw
D. Entekhabi;E.G. Njoku;P. Houser;M. Spencer.
IEEE Transactions on Geoscience and Remote Sensing (2004)
Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-Band SMOS SMAP Soil Moisture Retrieval Algorithms
J.-P. Wigneron;T.J. Jackson;P. O'Neill;G. De Lannoy.
Remote Sensing of Environment (2017)
Development and assessment of the SMAP enhanced passive soil moisture product
S. K. Chan;R. Bindlish;P. O'Neill;T. Jackson.
Remote Sensing of Environment (2018)
A parameterized surface reflectivity model and estimation of bare-surface soil moisture with L-band radiometer
Jiancheng Shi;K.S. Chen;Qin Li;T.J. Jackson.
IEEE Transactions on Geoscience and Remote Sensing (2002)
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