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Patrick J. Starks

Researcher at Agricultural Research Service

Publications -  122
Citations -  5208

Patrick J. Starks is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Watershed & Water content. The author has an hindex of 30, co-authored 112 publications receiving 4337 citations.

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Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment

TL;DR: Surface soil moisture retrieval algorithms based on passive microwave observations, developed and verified at high spatial resolution, were evaluated in a regional scale experiment and showed that soil texture dominated the spatial pattern at this scale.
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Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products

TL;DR: Four soil moisture networks were developed and used as part of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) validation program, and it is shown that there is much room for improvement in the algorithms currently in use by JAXA and NASA.
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A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

TL;DR: In this article, an analytical, light-use efficiency (LUE) based model of canopy resistance within a Two-Source Energy Balance (TSEB) scheme driven primarily by thermal remote sensing inputs was investigated.
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Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S.

TL;DR: Results of the validation analysis indicate that the SMOS soil moisture estimates are approaching the level of performance anticipated, based on comparisons with the in situ data and AMSR-E retrievals.
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Temporal stability of surface soil moisture in the Little Washita River watershed and its applications in satellite soil moisture product validation

TL;DR: In this paper, the concept of temporal stability is used to identify persistent soil moisture patterns and estimate the large scale average from select representative sensor locations, which can provide an efficient means to large-scale satellite validation.