Annett Bartsch

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—A novel sensor fusion algorithm for retrieving the freeze/thaw state from scatterometer data is presented: it is based on a probabilistic model, a variant of the Hidden Markov model, and it computes the probability that the landscape is frozen, thawed, or thawing for each day. By combining Ku and C band scatterometer data, the distinct backscattering(More)
To address the needs of the hydrological community for medium resolution soil moisture dataset an approach developed at the TU WIEN for the coarse resolution ERS/METOP datasets has been transferred to medium resolution SAR data. This work was performed within the ESA Tiger Innovator project SHARE and introduces an operational soil moisture monitoring(More)
Soil moisture is of high importance in permafrost regions. Within the DUE Permafrost project, adjustments to the 1 km Surface Soil Moisture (SSM) product, derived from ENVISAT ASAR Global Monitoring mode data, have been made to account for some of the conditions encountered at high latitudes. Soil moisture retrieval from SAR requires taking into account the(More)