Browsing by Author Jackson, T.J.

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  • Authors: Park, C‐H.;  Advisor: -;  Participants: Montzka, C.; Jagdhuber, T.; Jonard, F.; De Lannoy , G.; Hong, J.; Jackson, T.J.; Wulfmeyer, V. (2019)

  • This would lead to uncertainties in the estimation of higher level products, such as soil moisture retrievals from portable soil moisture sensors (e.g., time‐domain reflectometers) or passive microwave sensors onboard the Soil Moisture Active Passive (SMAP), Soil Moisture and Ocean Salinity (SMOS), and Advanced Microwave Scanning Radiometer (AMSR2) satellites. We incorporated OM into a dielectric mixing model by adjusting the wilting point and porosity according to the OM content, i.e., the effective soil dielectric constant decreases with higher OM due to a decrease in the fraction of free water and an increase in bound water. With the proposed soil parameters in the dielectric mixin...

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  • Authors: Fang, B.;  Advisor: -;  Participants: Lakshmi, V.; Bindlish, R.; Jackson, T.J. (2018)

  • The reference component of the algorithm was developed at the NLDAS grid size (12.5 km) to downscale the SMAP Level 3 radiometer‐based 9‐km soil moisture to 1 km. The downscaled results were validated using data acquired in Soil Moisture Active Passive Validation Experiment 2015 (SMAPVEX15) that included in situ soil moisture and Passive Active L‐band System (PALS) airborne instrument observations. The resulting downscaled SMAP estimates better characterize soil moisture spatial and temporal variability and have better overall validation metrics than the original SMAP soil moisture estimates. Additionally, the overall accuracy of the downscaled SMAP soil moisture is comparable to the ...

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  • Authors: Caldwell, T.G.;  Advisor: -;  Participants: Bongiovanni, T.; Cosh, M.H.; Jackson, T.J.; Colliander, A.; Abolt, C.J.; Casteel, R.; Larson, T.; Scanlon, B.R.; Young, M.H. (2019)

  • The spatiotemporal variability of soil water content (SWC) at the remote sensing scale requires dense monitoring for calibration and validation. Here, we present an overview of the Texas Soil Observation Network (TxSON), an intensively monitored area in the semiarid rangelands of the central Texas Hill Country. TxSON is a dense network consisting of 40 in situ locations nested at 36, 9, and 3 km within the Equal‐Area Scalable Earth Grid and serves as a Core Calibration and Validation Site for NASA's Soil Moisture Active Passive mission. The 4‐yr dataset consists of hourly SWC measured at 5, 10, 20, and 50 cm. The SWC data are upscaled using arithmetic, Voronoi, and inverse distance we...