000907822 001__ 907822 000907822 005__ 20230308135201.0 000907822 0247_ $$2doi$$a10.1080/17538947.2022.2061617 000907822 0247_ $$2ISSN$$a1753-8947 000907822 0247_ $$2ISSN$$a1753-8955 000907822 0247_ $$2Handle$$a2128/31225 000907822 0247_ $$2WOS$$aWOS:000783506400001 000907822 037__ $$aFZJ-2022-02233 000907822 082__ $$a910 000907822 1001_ $$0P:(DE-Juel1)177038$$aBayat, Bagher$$b0$$eCorresponding author 000907822 245__ $$aOne decade (2011–2020) of European agricultural water stress monitoring by MSG-SEVIRI: workflow implementation on the Virtual Earth Laboratory (VLab) platform 000907822 260__ $$aLondon [u.a.]$$bTaylor & Francis$$c2022 000907822 3367_ $$2DRIVER$$aarticle 000907822 3367_ $$2DataCite$$aOutput Types/Journal article 000907822 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1653387788_29750 000907822 3367_ $$2BibTeX$$aARTICLE 000907822 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000907822 3367_ $$00$$2EndNote$$aJournal Article 000907822 520__ $$aCloud computing facilities can provide crucial computing support for processing the time series of satellite data and exploiting their spatio-temporal information content. However, dedicated efforts are still required to develop workflows, executable on cloud-based platforms, for ingesting the satellite data, performing the targeted processes, and generating the desired products. In this study, an operational workflow is proposed, based on monthly Evaporative Stress Index (ESI) anomaly, and implemented in cloud-based online Virtual Earth Laboratory (VLab) platform, as a demonstration, to monitor European agricultural water stress. To this end, daily time-series of actual and reference evapotranspiration (ETa and ET0), from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor, were used to execute the proposed workflow successfully on VLab. The execution of the workflow resulted in obtaining one decade (2011–2020) of European monthly agricultural water stress maps at 0.04˚ spatial resolution and corresponding stress reports for each country. To support open science, all the workflow outputs are stored in GeoServer, documented in GeoNetwork, and made available through MapStore. This enables creating a dashboard for better visualization of the results for end-users. 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