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• W2791518529 abstract "Microwave remote sensing provides a unique capability for soil parameter retrievals. Therefore, various soil parameters estimation models have been developed using brightness temperature (BT) measured by passive microwave sensors. Due to the low resolution of satellite microwave radiometer data, the main goal of this study is to develop a downscaling approach to improve the spatial resolution of soil moisture estimates with the use of higher resolution visible/infrared sensor data. Accordingly, after the soil parameters have been obtained using Simultaneous Land Parameters Retrieval Model algorithm, the downscaling method has been applied to the soil moisture estimations that have been validated against in situ soil moisture data. Advance Microwave Scanning Radiometer-EOS BT data in Soil Moisture Experiment 2003 region in the south and north of Oklahoma have been used to this end. Results illustrated that the soil moisture variability is effectively captured at 5 km spatial scales without a significant degradation of the accuracy." @default.
• W2791518529 created "2018-03-29" @default.
• W2791518529 creator A5076714335 @default.
• W2791518529 creator A5091502151 @default.
• W2791518529 date "2018-03-01" @default.
• W2791518529 modified "2023-09-27" @default.
• W2791518529 title "Estimation of improved resolution soil moisture in vegetated areas using passive AMSR-E data" @default.
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• W2791518529 doi "https://doi.org/10.1007/s12040-018-0925-4" @default.
• W2791518529 hasPublicationYear "2018" @default.
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