DocumentCode :
3690357
Title :
Unmixing low-resolution soil moisture using spectrum downscaling and evapotranspiration
Author :
Anqi Wang;Chao Xie;Peng Liu;Lianlian Xu
Author_Institution :
National Geomatics Center of China, Beijing
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1976
Lastpage :
1979
Abstract :
Using AMSR-E soil moisture and MODIS data, the authors developed a new downscaling algorithm for large-scale soil moisture data according to the spectrum downscaling algorithm by improving the model fitting equation and the evapotranspiration mode. The comparison with in situ data from Asia-Australia Monsoon Project of Coordinated Energy and water-cycle Observation Project (CEOP) in Mongolia showed that the downscaled soil moisture data and its changing trends was in good agreement with measured data. Hence the authors confirmed the downscaling method introduced in the paper was of high accuracy and credibility.
Keywords :
"Soil moisture","Spatial resolution","Microwave radiometry","Microwave theory and techniques","Optical sensors","Vegetation mapping","Microwave imaging"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326184
Filename :
7326184
Link To Document :
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