DocumentCode :
3063151
Title :
An improved method for downscaling soil moisture retrieved by SMOS with MODIS LST/NDVI
Author :
Chengyun Song ; Li Jia
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2696
Lastpage :
2699
Abstract :
One main objective of Soil Moisture and Ocean Salinity (SMOS) is to provide observations of global soil moisture. The resolution of L-band radiometer carried by SMOS is about 50 km resolution, which is rather coarse for many applications. The method based on `universal triangle´ has been used on downscaling soil moisture retrieved by SMOS with L-band brightness temperature. Consider the senor carried by SMOS is the L-band multi-angular dual polarization radiometer, this paper presents an improved method for downscaling Centre Aval de Traitement des Données SMOS (CATDS) L3 soil moisture by using MODIS Land Surface Temperature (LST) /NDVI and SMOS dual polarization brightness temperature. Southwest of China is selected as the study area and ground based soil moisture from Maqu monitor network is used to compare with the SMOS CATDS soil moisture at 25 km and the downscaled soil moisture. The results show that the improved method could improve the result with R2 from 0.15 to 0.25. High resolution brightness temperature used in the method is obtained from SMOS CATDS brightness temperature at 25 km and causes error during the experiment.
Keywords :
land surface temperature; remote sensing; soil; CATDS L3 soil moisture; China; L-band brightness temperature; MODIS LST NDVI; MODIS Land Surface Temperature; Maqu monitor network; SMOS data; Soil Moisture and Ocean Salinity mission; global soil moisture; multiangular dual polarization radiometer; soil moisture downscaling; universal triangle; Brightness temperature; L-band; Land surface; Land surface temperature; MODIS; Remote sensing; Soil moisture; SMOS; downscaling algorithm; high spatial resolution; soil moisture; triangle method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723379
Filename :
6723379
Link To Document :
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