Jeroen Dries

Dr. Jeroen Dries

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2021 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Matthias SchrammMatthias Schramm
Matthias Schramm
EPEdzer Pebesma
Edzer Pebesma
Milutin MilenkovicMilutin Milenkovic
Milutin Milenkovic
LFLuca Foresta
Luca Foresta
JDJeroen Dries
Jeroen Dries
JRJohannes Reiche
Johannes Reiche
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Interface) standardises EO-related contracts between local clients (R, Python, and JavaScript) and cloud service providers regarding data access and processing, simplifying their direct comparability. Independent of the providers’ data storage system, the API mimics the functionalities of a virtual EO raster data cube. This article introduces the communication strategy and aspects of the data cube model applied by the openEO API. Two test cases show the potential and current limitations of processing similar workflows on different cloud platforms and a comparison of the result of a locally running workflow and its openEO-dependent cloud equivalent. The outcomes demonstrate the flexibility of the openEO API in enabling complex scientific analysis of EO data collections on cloud platforms in a homogenised way.

2 July 2016 in Remote Sensing
Verified
Journal Article
Open access
PDF file
EGErwin Goor
Erwin Goor
JDJeroen Dries
Jeroen Dries
DDDirk Daems
Dirk Daems
MPMartine Paepen
Martine Paepen
FNFabrizio Niro
Fabrizio Niro
AVAndrea Della Vecchia
Andrea Della Vecchia
As an extension of the PROBA-Vegetation (PROBA-V) user segment, the European Space Agency (ESA), de Vlaamse Instelling voor Technologisch Onderzoek (VITO), and partners TRASYS and Spacebel developed an operational Mission Exploitation Platform (MEP) to drastically improve the exploitation of the PROBA-V Earth Observation (EO) data archive, the archive from the historical SPOT-VEGETATION mission, and derived products by researchers, service providers, and thematic users. The analysis of the time series of data (petabyte range) is addressed, as well as the large scale on-demand processing of the complete archive, including near real-time data. The platform consists of a private cloud environment, a Hadoop-based processing environment and a data manager. Several applications are released to the users, e.g., a full resolution viewing service, a time series viewer, pre-defined on-demand processing chains, and virtual machines with powerful tools and access to the data. After an initial release in January 2016 a research platform was deployed gradually, allowing users to design, debug, and test applications on the platform. From the PROBA-V MEP, access to, e.g., Sentinel-2 and Sentinel-3 data will be addressed as well.