Loading…
escience2019 has ended
Back To Schedule
Wednesday, September 25 • 1:00pm - 1:30pm
Data Identification and Process Monitoring for Reproducible Earth Observation Research

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Bernhard Gößwein (Vienna University of Technology), Tomasz Miksa (Vienna University of Technology & SBA Research), Andreas Rauber (Vienna University of Technology), and Wolfgang Wagner (Vienna University of Technology)

Earth observation researchers use specialised computing services for satellite image processing offered by various data backends. The source of data is often the same, for example Sentinel-2 satellites operated by the European Space Agency, but the way how data is pre-processed, corrected, updated, and later analysed may differ among the backends.

Backends often lack mechanisms for data versioning, for example, data corrections are not tracked. Furthermore, an evolving software stack used for data processing remains a black box to researchers. Researchers have no means to identify why executions of the same code deliver different results. This hinders reproducibility of earth observation experiments.

In this paper, we present how infrastructure of existing earth observation data backends can be modified to support reproducibility. The proposed extensions are based on recommendations of the Research Data Alliance regarding data identification and the VFramework for automated process provenance documentation. We implemented these extensions at the Earth Observation Data Centre, a partner in the openEO consortium. We evaluated the solution on a variety of usage scenarios, providing also performance and storage measures to evaluate the impact of the modifications. The results indicate reproducibility can be supported with minimal performance and storage overhead.

Speakers
BG

Bernhard Gößwein

Vienna University of Technology
TM

Tomasz Miksa

Vienna University of Technology & SBA Research



Wednesday September 25, 2019 1:00pm - 1:30pm
Macaw Room