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ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning., , , , , , , , , and . EDBT, page 749-756. OpenProceedings.org, (2023)From Copernicus Big Data to Extreme Earth Analytics., , , , , , , , , and 16 other author(s). EDBT, page 690-693. OpenProceedings.org, (2019)From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project., , , , , , , , and . CIKM, page 1911-1914. ACM, (2018)GeoSensor: semantifying change and event detection over big data., , , , , , , , and . SAC, page 2259-2266. ACM, (2019)Fire Risk Management using Data Cubes, Machine Learning and OBDA systems., , , , , , , and . SIGSPATIAL/GIS, page 34:1-34:4. ACM, (2023)Ontology-Based Data Access and Visualization of Big Vector and Raster Data., , and . IGARSS, page 407-410. IEEE, (2018)Providing Satellite Data to Mobile Developers Using Semantic Technologies and Linked Data., , , , , , , , , and . ICSC, page 348-351. IEEE, (2019)European AI and EO convergence via a novel community-driven framework for data-intensive innovation., , , , , , , , , and 17 other author(s). Future Gener. Comput. Syst., (2024)GeoSensor: On-line Scalable Change and Event Detection over Big Data., , , , , , , , , and 2 other author(s). WWW (Companion Volume), page 223-226. ACM, (2018)Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation., , , , , , , , , and 15 other author(s). BigDataService, page 9-16. IEEE, (2023)