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Open AccessArticle

The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

1
TU Wien, Department of Geodesy and Geoinformation, 1040 Vienna, Austria
2
Institute for Geoinformatics, University of Münster, 48149 Münster, Germany
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Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research (WUR), Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
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EODC Earth Observation Data Centre for Water Resources Monitoring GmbH, 1030 Vienna, Austria
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Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
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EURAC Research, Institute for Earth Observation, 39100 Bolzano, Italy
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Mundialis GmbH & Co. KG, 53111 Bonn, Germany
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Sinergise Laboratory for Geographical Information Systems, Ltd., 1000 Ljubljana, Slovenia
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SBA Research, 1040 Vienna, Austria
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Joint Research Centre (JRC), European Commission, 21027 Ispra, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Jose Moreno
Remote Sens. 2021, 13(6), 1125; https://doi.org/10.3390/rs13061125
Received: 5 February 2021 / Revised: 10 March 2021 / Accepted: 11 March 2021 / Published: 16 March 2021
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. View Full-Text
Keywords: cloud computing; interoperability; virtual data cube; open standard; API cloud computing; interoperability; virtual data cube; open standard; API
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MDPI and ACS Style

Schramm, M.; Pebesma, E.; Milenković, M.; Foresta, L.; Dries, J.; Jacob, A.; Wagner, W.; Mohr, M.; Neteler, M.; Kadunc, M.; Miksa, T.; Kempeneers, P.; Verbesselt, J.; Gößwein, B.; Navacchi, C.; Lippens, S.; Reiche, J. The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote Sens. 2021, 13, 1125. https://doi.org/10.3390/rs13061125

AMA Style

Schramm M, Pebesma E, Milenković M, Foresta L, Dries J, Jacob A, Wagner W, Mohr M, Neteler M, Kadunc M, Miksa T, Kempeneers P, Verbesselt J, Gößwein B, Navacchi C, Lippens S, Reiche J. The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote Sensing. 2021; 13(6):1125. https://doi.org/10.3390/rs13061125

Chicago/Turabian Style

Schramm, Matthias; Pebesma, Edzer; Milenković, Milutin; Foresta, Luca; Dries, Jeroen; Jacob, Alexander; Wagner, Wolfgang; Mohr, Matthias; Neteler, Markus; Kadunc, Miha; Miksa, Tomasz; Kempeneers, Pieter; Verbesselt, Jan; Gößwein, Bernhard; Navacchi, Claudio; Lippens, Stefaan; Reiche, Johannes. 2021. "The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities" Remote Sens. 13, no. 6: 1125. https://doi.org/10.3390/rs13061125

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