Title :
Merging thermal and microwave satellite observations for a high-resolution soil moisture data product
Author :
Zhan, Xiwu ; Anderson, Martha ; Liu, Jicheng
Author_Institution :
NESDIS Center for Satellite Applic. & Res., NOAA, Camp Springs, MD, USA
Abstract :
Based on Bayesian theory, the merged soil moisture data product should have smaller errors than the errors of each of the individual soil moisture products to be merged. From the application point of view, if the accurate coarser resolution microwave soil moisture observations can constrain the errors of the less accurate high resolution thermal soil moisture estimates using the merging approach, then the merged product will broaden the applications of the satellite soil moisture products. This study examines how the selected merging approaches realize the advantages of the merged soil moisture data products.
Keywords :
Bayes methods; geophysical signal processing; hydrological techniques; infrared imaging; microwave imaging; moisture; remote sensing; sensor fusion; soil; Bayesian theory; high resolution soil moisture data product; microwave satellite observations; microwave soil moisture observations; satellite soil moisture products; thermal satellite observations; thermal soil moisture estimates; Microwave imaging; Microwave radiometry; Microwave theory and techniques; Satellite broadcasting; Satellites; Soil moisture; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652038
