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Microwave radiometer measurements are used to extract snowpack information. However, the coarse spatial resolution of satellite brightness temperature observations hinders snow depth retrieval algorithm development and other applications. Measurements therefore require better spatial resolution to improve snow depth retrieval with enhanced resolution and accuracy. In this paper, a linear unmixing...
QP model with dual-channel algorithm could accurately represent the effect of surface roughness on emission at different polarization under big view angle. The purpose of this paper is to estimate long temporal series soil moisture product based on the QP algorithm, and compared it with JAXA, LPRM in Genhe basin. The results indicate that QP retrieval values are closest to the ground data but it have...
Soil moisture is a critical factor in cosmopolitan meteorological and hydrological processes. Microwave remote sensing brightness temperature is sensitive to soil moisture through the effects of moisture on the dielectric constant and hence emissivity of the soil [1]. It was found that the brightness temperature at L-band is useful for retrieving near-surface soil moisture [2–3]. The Soil Moisture...
The coarse spatial resolution of microwave radiometer measurements hinders its application on land and sea surface parameters estimation. Measurements therefore require better spatial resolution to improve parameters estimation with enhanced resolution and accuracy. In this paper, a linear unmixing method is presented to downscale brightness temperatures (TB) for accurate land surface parameters retrieval...
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