Naeimi, V., Hasenauer, S., Cao, S., Bauer-Marschallinger, B., Dostálová, A., Schlaffer, S., & Wagner, W. (2014). Monitoring Water Resources Using Big Data from Sentinel-1 Satellites. In P. G. Marchetti & P. Soille (Eds.), Proceedings of the 2014 conference on Big Data from Space (BiDS ’14) (pp. 146–149). Publications Office of the European Union. https://doi.org/10.2788/1823
Publications Office of the European Union, Luxembourg
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Keywords:
Big Data; soil moisture; Sentinel-1; Synthetic Aperture Radar; SAR; water bodies
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Abstract:
Earth observation satellites play an increasingly important role in the monitoring of water resources. The new generation of high-resolution imagery sensors including Sentinel-1(S-1) satellites are going to open a new era in usability of satellite data for water resources monitoring. High spatial resolution, short data acquisition intervals at global scale will imply exponential growth in data volume. To overcome challenges of automatic processing of the raw satellite data to higher-level products, large-scale data centres and innovative processing chains need to be established. This paper will address the technical and scientific challenges of handling the Big Data from S-1 satellites and discuss the S-1 processing chain under development by the Vienna University of Technology (TU Wien) for global monitoring of a range of geophysical variables including surface soil moisture and water bodies.
