1. Big data analytics for earth sciences: The EarthServer approach
- Author
-
J. H. P. Oosthoek, Stefano Nativi, Marcus Sen, Sebastian Wagner, Alireza Rezaei Mahdiraji, D. Oliver Clements, Dimitar Misev, Riccardo Bruno, Roberto Barbera, J.L. Laxton, George Kakaletris, Alan Beccati, Francesco Rundo, Simone Mantovani, Antonio Calanducci, Paolo Mazzetti, Damiano Barboni, Maria Grazia Veratelli, Pasquale Herzig, Angelo Pio Rossi, Peter Baumann, Piero Campalani, Vittorio Sorbera, James Passmore, Marco Pappalardo, Stefano Natali, Alex Mircea Dumitru, Joachim Ungar, Kinga Lipskoch, Enrico Boldrini, Panagiota Koltsida, Mike Grant, Vlad Merticariu, Lorenzo Bigagli, Donald V. Sullivan, Antonio Messina, Leonardo Trovato, Mario Torrisi, and Publica
- Subjects
Big Data ,Earth observation ,Geospatial analysis ,010504 meteorology & atmospheric sciences ,Computer science ,Earth science ,Big data ,data analysis ,0211 other engineering and technologies ,interoperability ,02 engineering and technology ,computer.software_genre ,01 natural sciences ,Data modeling ,World Wide Web ,Research Line: Human computer interaction (HCI) ,array databases ,Semantic analytics ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,business.industry ,Business Field: Digital society ,big data analytics ,Data science ,Array DBMS ,Computer Science Applications ,Earth sciences ,earth and atmospheric science ,13. Climate action ,Analytics ,Data analysis ,standards ,General Earth and Planetary Sciences ,business ,computer ,Software - Abstract
Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations. However, Earth Science data and applications present specificities in terms of relevance of the geospatial information, wide heterogeneity of data models and formats, and complexity of processing. Therefore, Big Earth Data Analytics requires specifically tailored techniques and tools. The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS). The EarthServer solution, led by the collection of requirements from scientific communities and international initiatives, provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization. The result is demonstrated and validated through the development of lighthouse applications in the Marine, Geology, Atmospheric, Planetary and Cryospheric science domains.
- Published
- 2016
- Full Text
- View/download PDF