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21 November 2012 Future use of the data from the ESA Sentinel-1 mission for operational soil moisture mapping: a multitemporal algorithm
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Abstract
The Sentinel-1 mission will offer the opportunity to obtain C-band radar data characterized by short revisit time, thus allowing the generation of frequent soil moisture maps. This paper presents a multitemporal algorithm that exploits such a short revisit time to perform an operational soil moisture mapping. The procedure assumes the availability of a time series of SAR images that is integrated within a retrieval algorithm based on the Bayesian maximum posterior probability statistical criterion. Preliminary results show that the performances of the multitemporal algorithm are better than those provided by a standard monotemporal one. Its implementation can be demanding in terms of computer resource, but a pipeline processing can be implemented in order to fulfill the temporal requirements of the users.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nazzareno Pierdicca and Luca Pulvirenti "Future use of the data from the ESA Sentinel-1 mission for operational soil moisture mapping: a multitemporal algorithm", Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 85360K (21 November 2012); https://doi.org/10.1117/12.977626
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