1. Editorial on the Citizen Science and Geospatial Capacity Building.
- Author
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Kocaman, Sultan, Saran, Sameer, Durmaz, Murat, and Kumar, Senthil
- Subjects
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CITIZEN science , *ARTIFICIAL intelligence , *DATA mining , *GEOSPATIAL data , *CAPACITY building - Abstract
This article introduces the Special Issue on "Citizen Science and Geospatial Capacity Building" and briefly evaluates the future trends in this field. This Special Issue was initiated for emphasizing the importance of citizen science (CitSci) and volunteered geographic information (VGI) in various stages of geodata collection, processing, analysis and visualization; and for demonstrating the capabilities and advantages of both approaches. The topic falls well within the main focus areas of ISPRS Commission V on Education and Outreach. The articles collected in the issue have shown the enormously wide application fields of geospatial technologies, and the need of CitSci and VGI support for efficient information extraction and synthesizing. They also pointed out various problems encountered during these processes. The needs and future research directions in this subject can broadly be categorized as; (a) data quality issues especially in the light of big data; (b) ontology studies for geospatial data suited for diverse user backgrounds, data integration, and sharing; (c) development of machine learning and artificial intelligence based online tools for pattern recognition and object identification using existing repositories of CitSci and VGI projects; and (d) open science and open data practices for increasing the efficiency, decreasing the redundancy, and acknowledgement of all stakeholders. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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