Database approach to develop and validate the Soil Moisture and temperature retrieval algorithm using SMOS radiometric data

This paper describes the information system, which has been developed for the storing and automated processing of the Soil Moisture and Ocean Salinity (SMOS) Level 1C radiometric and Level 2 soil moisture data over space and time. The information system contains the database for storing the data and the interface for automated processing. That interface has been developed to provide access to these specific data from the database within the Matlab numerical computing environment used for the realization of algorithms and methods. The developed information system helps to speed up the processing of SMOS data in regional scale over a long period of time, and has successfully been used for the validation of soil temperature and moisture retrieval algorithms over the North Slope of Alaska and Yamal peninsula.