JOURNAL ARTICLE

A method for retrieving high-resolution surface soil moisture by downscaling AMSR-E brightness temperature

Abstract

This paper presents a method to retrieve surface soil moisture at high-resolution from brightness temperature. To obtain high resolution brightness temperature, downscaling brightness temperature uses higher resolution visible/infrared satellite data and is based on the method of retrieving land surface temperature with passive microwave and the relationship between Microwave Polarization Difference Index (MPDI) and NDVL High resolution soil moisture is retrieved with downscaled brightness temperature using a single-channel algorithm (SCA), and the Q p model used to deal with the influence of roughness. Downscaled brightness temperature is compared with the aircraft data during the Experiment in the Heihe River Basin in China. The retrieved high resolution soil moisture is compared with in situ (0-6 cm depth) point measurements during SMEX02, obtaining R 2 = 0.74 and RMSE as 0.047 cm 3 cm -3 .

Keywords:
Brightness temperature Downscaling Brightness Remote sensing Environmental science Resolution (logic) Satellite Computer science Physics Meteorology Artificial intelligence Geology Optics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.14
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Soil Moisture and Remote Sensing
Physical Sciences →  Environmental Science →  Environmental Engineering
Precipitation Measurement and Analysis
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Cryospheric studies and observations
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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