Talks and Poster Presentations (with Proceedings-Entry):

W. Wagner, B. Bauer-Marschallinger, C. Navacchi, F. Reuß, S. Cao, C. Reimer, M. Schramm, C. Briese:
"A Sentinel-1 Data Cube For Global Land Monitoring Applications";
Talk: Big Data from Space 2021, Online; 2021-05-18 - 2021-05-20; in: "Proceedings of the 2021 conference on Big Data from Space (BiDS'21)", P. Soille, S. Loekken, S. Albani (ed.); (2021), ISBN: 978-92-76-37661-3; 49 - 52.

English abstract:
The Sentinel-1 Synthetic Aperture Radar (SAR) satellites
allow global monitoring of the Earth´s land surface with
unprecedented spatio-temporal coverage. Yet, it is a challenging
task given the big Sentinel-1 data volume, stringent
user requirements, and the complex algorithms needed to
convert the SAR intensity data into higher-level geophysical
data products. On-demand processing solutions have been
proposed to cope with the Petabyte-scale data volumes, yet in
practice many scientific and operational applications alike require
pre-processed analysis ready data cubes. To serve land
monitoring applications, TU Wien and EODC have created
a Sentinel-1 backscatter data cube 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 contribution, we present the technical specifications
of the data, means of access and analysis capabilities,
and their use in scientific and operational applications.

Data Cube, Sentinel-1, Analysis Ready Data, Land Monitoring, Continents

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.