From pixels to knowledge
-
1
Experimental Zooprophylactic Institute of Abruzzo and Molise G. Caporale, Italy
The era we are living in is characterized by an enormous amount of data produced by all kinds of instruments and sensors. But the real challenge is to understand if such a great availability of data really leads us to the generation of a deeper knowledge. How should we organize the whole system of data generation/acquisition, information generation, knowledge production, achievement of wisdom (the well-known DIKW pyramid) so that the entire veterinary scientific community can benefit from the open data era? How data, methods and applications should be addressed and further developed in order for big data to fulfill the scientific community expectation? In this midst of data generation, Earth Observation represents one of the main field in which petabyte of data are produced every day. Images of our planet from orbit are acquired continuously; they have become powerful scientific tools to enable better understanding and improved management of the Earth and its environment. From the first Earth Observation System sensors, resolution in space and time have increased with new programs. European Commission in Tie-up with ESA, the European Space Agency, has developed and still is developing a new family of missions called Sentinels. Each Sentinel mission is based on a constellation of two satellites to fulfil revisit and coverage requirements. This unique global monitoring initiative is making a step change in the way we manage our environment, understand and tackle the effects of climate change, and safeguard everyday lives. The vast majority of data and information delivered by the Copernicus Space infrastructure and the Copernicus services are made available and accessible to any citizen and any organisation around the world on a free, full and open access basis. Alongside the development of hardware technologies, network infrastructures, and communications speed, it is furthermore necessary to develop data management tools that make these data usable for information generation and analysis. The entire knowledge system must be improved and advanced. From data storage, pre-processing (GEE, AWS) to analysis tools and languages (R, python), from automated data mining, data-driven approach to information sharing (e.g. Shiny application and webGIS Platform).
How can this enormous availability of data, these advanced technologies and methods of analysis contribute to an improvement of knowledge in the veterinary field and to the adoption of better policies?
References
Faghmous JH, and Kumar V. A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science, Big Data, 2, 155–163, 10.1089/big.2014.0026, 2014.
VanderWaal K, Morrison RB, Neuhauser C, Vilalta C and Perez AM (2017) Translating Big Data into Smart Data for Veterinary Epidemiology. Front. Vet. Sci. 4:110. doi: 10.3389/fvets.2017.00110
Russell.L. Ackoff (1989). From Data to Wisdom. Journal of Applied Systems Analysis, 16: 3-9.
Keywords:
big data,
Earth Observation,
Webgis applications,
surveillance,
DIKW hierarchy
Conference:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data, Davis, United States, 8 Oct - 10 Oct, 2019.
Presentation Type:
Keynote
Topic:
Operational GIS tools for policy-makers, planners, researchers
Citation:
Conte
A
(2019). From pixels to knowledge.
Front. Vet. Sci.
Conference Abstract:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data.
doi: 10.3389/conf.fvets.2019.05.00011
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
31 Jul 2019;
Published Online:
27 Sep 2019.
*
Correspondence:
Mrs. Annamaria Conte, Experimental Zooprophylactic Institute of Abruzzo and Molise G. Caporale, Teramo, Abruzzo, 64100, Italy, a.conte@izs.it