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Technical Note

A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications

1
Department of Geodesy and Geoinformation, Technische Universität Wien, Wiedner Hauptstraße 8-10, 1040 Vienna, Austria
2
EODC Earth Observation Data Centre for Water Resources Monitoring, Franz-Grill-Straße 9, 1030 Wien, Austria
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Proceedings of the 2021 Conference on Big Data from Space, Virtual Event, 18–20 May 2021.
Academic Editor: Kohei Arai
Remote Sens. 2021, 13(22), 4622; https://doi.org/10.3390/rs13224622
Received: 29 September 2021 / Revised: 4 November 2021 / Accepted: 8 November 2021 / Published: 17 November 2021
The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the large volume of data from Sentinel-1 and the complex algorithms needed to convert the SAR intensity data into higher-level geophysical data products. While on-demand processing solutions have been proposed to cope with the petabyte-scale data volumes, in practice many applications require preprocessed datacubes that permit fast access to multi-year time series and image stacks. To serve near-real-time as well as offline land monitoring applications, we have created a Sentinel-1 backscatter datacube for all continents (except Antarctica) that is constantly being updated and maintained to ensure consistency and completeness of the data record over time. In this technical note, we present the technical specifications of the datacube, means of access and analysis capabilities, and its use in scientific and operational applications. View Full-Text
Keywords: datacube; Sentinel-1; analysis-ready data; land monitoring; global datacube; Sentinel-1; analysis-ready data; land monitoring; global
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MDPI and ACS Style

Wagner, W.; Bauer-Marschallinger, B.; Navacchi, C.; Reuß, F.; Cao, S.; Reimer, C.; Schramm, M.; Briese, C. A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications. Remote Sens. 2021, 13, 4622. https://doi.org/10.3390/rs13224622

AMA Style

Wagner W, Bauer-Marschallinger B, Navacchi C, Reuß F, Cao S, Reimer C, Schramm M, Briese C. A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications. Remote Sensing. 2021; 13(22):4622. https://doi.org/10.3390/rs13224622

Chicago/Turabian Style

Wagner, Wolfgang, Bernhard Bauer-Marschallinger, Claudio Navacchi, Felix Reuß, Senmao Cao, Christoph Reimer, Matthias Schramm, and Christian Briese. 2021. "A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications" Remote Sensing 13, no. 22: 4622. https://doi.org/10.3390/rs13224622

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