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Merging thermal and microwave satellite observations for a high-resolution soil moisture data product

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3 Author(s)
Xiwu Zhan ; NESDIS Center for Satellite Applic. & Res., NOAA, Camp Springs, MD, USA ; Anderson, M. ; Jicheng Liu

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.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Date of Conference:

25-30 July 2010

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