EGU2020-21974, updated on 02 Jul 2020
https://doi.org/10.5194/egusphere-egu2020-21974
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

The Earth Observation Time Series Analysis Toolbox (EOTSA) - An R package with WPS, Web-Client and Spark integration

Ulrich Leopold1, Benedikt Gräler2, Henning Bredel2, J. Arturo Torres-Matallana1, Philippe Pinheiro1, Mickaël Stefas1, Thomas Udelhoven3, Jeroen Dries4, Bernard Valentin5, Leslie Gale5, Philippe Mougnaud6, and Martin Schlerf1
Ulrich Leopold et al.
  • 1Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation, Esch-sur-Alzette, Luxembourg (ulrich.leopold@list.lu)
  • 2°North Initiative for Geospatial Open Source Software GmbH, Germany
  • 3Environmental Remote Sensing and Geoinformatics, Trier University, Germany
  • 4Flemish Institute for Technology & Research (VITO), Centre for Remote Sensing and Earth Observation Processes, Belgium
  • 5Space Applications Services NV/SA, Belgium
  • 6European Space Agency, ESRIN, Italy

We present an implementation of a time series analysis toolbox for remote sensing imagery in R which has been largely funded by the European Space Agency within the PROBA-V MEP Third Party Services project. The toolbox is developed according to the needs of the time series analysis community. The data is provided by the PROBA-V mission exploitation platform (MEP) at VITO. The toolbox largely builds on existing specialized R packages and functions for raster and time series analysis combining these in a common framework.

In order to ease access and usage of the toolbox, it has been deployed in the MEP Spark Cluster to bring the algorithm to the data. All functions are also wrapped in a Web Processing Service (WPS) using 52°North’s WPS4R extension for interoperability across web platforms. The WPS can be orchestrated in the Automatic Service Builder (ASB) developed by Space Applications. Hence, the space-time analytics developed in R can be integrated into a larger workflow potentially integrating external data and services. The WPS provides a Webclient including a preview of the results in a map window for usage within the MEP. Results are offered for download or through Web Mapping and Web Coverage Services (WMS, WCS) provided through a Geoserver instance.

Through its interoperability features the EOTSA toolbox provides a contribution towards collaborative science.

How to cite: Leopold, U., Gräler, B., Bredel, H., Torres-Matallana, J. A., Pinheiro, P., Stefas, M., Udelhoven, T., Dries, J., Valentin, B., Gale, L., Mougnaud, P., and Schlerf, M.: The Earth Observation Time Series Analysis Toolbox (EOTSA) - An R package with WPS, Web-Client and Spark integration, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21974, https://doi.org/10.5194/egusphere-egu2020-21974, 2020

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