Title :
A method for retrieving high-resolution surface soil moisture by downscaling AMSR-E brightness temperature
Author :
Song, Chengyun ; Jia, Li ; Menenti, Massimo
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
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 Qp 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 R2 = 0.74 and RMSE as 0.047 cm3 cm-3.
Keywords :
geophysical techniques; land surface temperature; remote sensing; rivers; soil; China; Heihe River Basin; Microwave Polarization Difference Index; NDVI; SMEX02; aircraft data; downscaling AMSR-E brightness temperature; high resolution brightness temperature; high resolution infrared satellite data; high resolution soil moisture; high resolution visible satellite data; land surface temperature; passive microwave; single-channel algorithm; surface soil moisture; downscaling; microwave brightness temperature; soil moisture;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351461