ACRS 2021
GRSS Tutorial

GRSS Tutorial

  • GRSS Tutorial


Title: "openEO and SAR2CUBE: Bringing SAR processing into the world of cloud computing"

Date: November 24 

Time: 16:30-18:00Vietnam time (UT+7)

Chair: Dr. Carlos López-Martínez (UPC)

s: Alexander Jacob, Michele Claus (EURAC)



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openEO and SAR2CUBE: Bringing SAR processing into the world of cloud computing.


Alexander Jacob coordinates the research group Advanced Computing for Earth Observation, within the Institute for Earth Observation at EURAC Research. He did his undergraduate studies in Geodesy at TU Darmstadt in Germany and continued with specialization with a MSc and PhD studies in geoinformatics from the Royal Institute of Technology in Stockholm, Sweden. He is an expert in earth observation and data science and is currently working on standardizing and improving access to cloud processing facilities and organization of earth observation data into data cubes. He is an active project manager for EURAC Research’s contribution to the ESA openEO Platform project and the PI of the ESA SAR2CUBE project. He has been actively involved in the original openEO H2020 project as well, coordinating and developing the back-end implementation of Eurac Research.


Michele Claus is a junior researcher at EURAC Research, in the group Advanced Computing for Earth Observation. He has experience and interest in data science, computer vision and machine/deep learning. He holds a double degree obtained during his EIT Digital master between TU Delft and UNITN. At EURAC Research he deals with satellite big data with the use of python libraries for earth observation, developing tools to improve the efficiency of the processing pipelines with the help of parallelization. He is actively involved in the openEO Platform and the SAR2Cube project, contributing to the Xarray/Dask based openEO processing engine.


During the workshop we will introduce the openEO API and some examples of its implementation in Europe based on the developments carried out in the ESA SAR2CUBE and openEO platform projects.

OpenEO is a very modern high-level API aiming at defining EO processing workflows independent from the infrastructure in which they are processed. It is based on the concept of virtual data cubes and the chain ability of operations that can be called on those data cubes.

Many data cubes have been developed recently, but very few have tackled the difficulties of working with complex data in the Slant-Range geometry.  In the SAR2CUBE project a framework for defining SAR data cubes in their natural format and make them compatible with other geo-projected raster data has been developed.

Both projects are completely based on open-source technology and are continued to be developed as open source. SAR2CUBE makes use of the openEO API to expose the newly defined processes specifically for working with SAR data.


EURAC Research is an advanced private no-profit research center established in 1992 with headquarters in Bolzano. Its over 500 staff members united by shared values of passion for their work and an unwavering commitment to quality, have the opportunity to work in a multicultural environment thanks to a wide diversity of nationalities represented among its team. This diversity, of gender and nationality, ensures a positive environment that enables respect and an understanding of different cultural patterns. EURAC Research is internally organized in 11 Research Institutes and 4 research centers, supported by 11 Service Departments, performing research activities in different fields from issues related to minority rights protection, federal, regional and local governmental trends and the efficient management of public administrations to studies on renewable energies, promotion of sustainable development and the protection of natural resources. The purpose of Institute for Earth Observation is the advanced analysis of Earth Observation data and their integration into products and services tackling most relevant environmental issues in mountain areas. Born from the requirements of dealing with all the data needed for the main objectives of the institute a research group for advanced computing in earth observation was established working on big earth observation data management and processing.