Earth observation and geospatial big data management and engagement of stakeholders in Hungary to support the SDGs

• Main Authors: Szabolcs Mihály, Gábor Remetey-Fülöpp, Dániel Kristóf, Anna Czinkóczky, Tamás Palya, László Pásztor, Pál Rudan, György Szabó, László Zentai
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2021-07-01
• Series: Big Earth Data
• Subjects: earth observation; environment; gis; soil; sustainable development
• Online Access: http://dx.doi.org/10.1080/20964471.2021.1940733

To support the monitoring and reporting processes during implementation of the Sustainable Development Goals, well-developed, commonly recognized Earth observations and geospatial data, methods, innovations, committed professionals, and strong sustainability policies are necessary. This article informs the readers on the Earth observation and geoinformation developments and innovations, and on the engagement of profession, academy and governance to support implementation of the Sustainable Development Goals in Hungary. Description, analyses and critical assessments are given on the elements selected from Hungarian sustainable-oriented Earth observation and geospatial novelties: (a) Working Group for Sustainable Development mission and national sustainability-policy, (b) international partnerships, domestic activities and achievements, (c) status of the professional education, (d) spatial databases and services to support implementation of the sustainable development, (e) a case study on the internationally recognized soil geoinformation system, (f) national Earth Observation Information System and perspectives of its applications for monitoring the sustainability. The article conclusion strongly advises the Hungarian realization of (a) institutionalization of the Earth observation and geospatial tools and capacity for sustainable development, (b) their use in integration with statistical data, (c) establishment of national spatial information infrastructure and (d) development and spreading of the use of big data.