Wade T. Crow mainly investigates Water content, Remote sensing, Data assimilation, Radiometer and Meteorology. He combines subjects such as Soil science, Soil water, Satellite imagery, Evapotranspiration and Surface runoff with his study of Water content. His work on Radiometry as part of general Remote sensing research is frequently linked to Scale and Current, thereby connecting diverse disciplines of science.
His Data assimilation research is multidisciplinary, incorporating perspectives in Moisture, Kalman filter, Errors-in-variables models and Anomaly. His study in Radiometer is interdisciplinary in nature, drawing from both Soil map, Rain gauge, Precipitation and Brightness temperature. His Soil map research includes themes of Atmosphere, Correlation coefficient, Carbon sink, Calibration and Data retrieval.
Wade T. Crow focuses on Water content, Remote sensing, Data assimilation, Meteorology and Soil science. His research in Water content intersects with topics in Radiometer, Soil water, Atmospheric sciences, Precipitation and Moisture. His research integrates issues of Soil map, Water balance and Brightness temperature in his study of Radiometer.
His research in the fields of Radiometry overlaps with other disciplines such as Scale. His Data assimilation study combines topics from a wide range of disciplines, such as Kalman filter, Streamflow and Surface runoff. His Meteorology research incorporates elements of Mean squared error and Flood forecasting.
His main research concerns Water content, Atmospheric sciences, Remote sensing, Data assimilation and Precipitation. His work carried out in the field of Water content brings together such families of science as Soil science, Radiometer, Streamflow, Evapotranspiration and Brightness temperature. His Atmospheric sciences research focuses on subjects like Moisture, which are linked to Soil water.
In general Remote sensing study, his work on Synthetic aperture radar often relates to the realm of High resolution, thereby connecting several areas of interest. In Data assimilation, Wade T. Crow works on issues like Surface runoff, which are connected to Infiltration. His Precipitation study combines topics in areas such as Drainage basin and Normalized Difference Vegetation Index.
Water content, Remote sensing, Data assimilation, Atmospheric sciences and Soil science are his primary areas of study. In his work, he performs multidisciplinary research in Water content and Scale. The study incorporates disciplines such as Active passive, Retrieval algorithm and Brightness temperature in addition to Remote sensing.
His biological study spans a wide range of topics, including Kalman filter, Adaptive filter and Monte Carlo method. His work in Soil science covers topics such as Surface runoff which are related to areas like Storm and Infiltration. He has included themes like Soil map and Meteorology in his Correlation coefficient study.
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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)
Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products
Wade T. Crow;Aaron A. Berg;Michael H. Cosh;Alexander Loew.
Reviews of Geophysics (2012)
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)
Performance Metrics for Soil Moisture Retrievals and Application Requirements
Dara Entekhabi;Rolf H. Reichle;Randal D. Koster;Wade T. Crow.
Journal of Hydrometeorology (2010)
Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring
J.D. Bolten;W.T. Crow;Xiwu Zhan;T.J. Jackson.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2010)
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)
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)
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals
Alexander Gruber;Wouter Arnoud Dorigo;Wade Crow;Wolfgang Wagner.
IEEE Transactions on Geoscience and Remote Sensing (2017)
An adaptive ensemble Kalman filter for soil moisture data assimilation
Rolf H. Reichle;Rolf H. Reichle;Wade T. Crow;Christian L. Keppenne;Christian L. Keppenne.
Water Resources Research (2008)
A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals
W. T. Crow;D. Ryu.
Hydrology and Earth System Sciences (2009)
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