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Title: IMPACT OF AGGREGATION RULES OF ANCILLARY PARAMETERS ON SOIL MOISTURE RETRIEVALS FROM SPACEBORNE MICROWAVE RADIOMETER OBSERVATIONS

Author
item Zhan, Xiwu
item Jackson, Thomas
item Crow, Wade

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 6/8/2006
Publication Date: 7/31/2006
Citation: Zhan, X., Jackson, T.J., Crow, W.T. 2006. Impact of aggregation rules of ancillary parameters on soil moisture retrievals from spaceborne microwave radiometer observations. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31- August 31, 2006, Denver, Colorado. p. 1728-1731.

Interpretive Summary:

Technical Abstract: Retrieving soil moisture from space-borne microwave radiometer observations often requires ancillary parameters such as surface vegetation opacity and roughness. The conventional approach for deriving representative values of these parameters is usually to simply average the corresponding parameters of high resolution pixels over the whole microwave sensor footprint. This paper uses a microwave emission model (MEM) to demonstrate that the aggregation rules significantly impact the results and if chosen correctly can reduce the soil moisture retrieval errors from the single-channel retrieval and the MEM inversion algorithms.