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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)Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation., , , , , , , , , and 15 other author(s). BigDataService, page 9-16. IEEE, (2023)GeoSensor: On-line Scalable Change and Event Detection over Big Data., , , , , , , , , and 2 other author(s). WWW (Companion Volume), page 223-226. ACM, (2018)Linked Geospatial Data., , , and . Encyclopedia of Big Data Technologies, Springer, (2019)Template-Based Question Answering over Linked Geospatial Data., , , , , , , , , and 4 other author(s). GIR@SIGSPATIAL, page 7:1-7:10. ACM, (2018)Big, Linked Geospatial Data and Its Applications in Earth Observation., , , , and . IEEE Internet Comput., 21 (4): 87-91 (2017)Fire Risk Management using Data Cubes, Machine Learning and OBDA systems., , , , , , , and . SIGSPATIAL/GIS, page 34:1-34:4. ACM, (2023)