{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:30:03Z","timestamp":1760236203066,"version":"build-2065373602"},"reference-count":10,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This article introduces the Special Issue on \u201cCitizen Science and Geospatial Capacity Building\u201d 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.<\/jats:p>","DOI":"10.3390\/ijgi10110741","type":"journal-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T22:21:34Z","timestamp":1635805294000},"page":"741","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Editorial on the Citizen Science and Geospatial Capacity Building"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2775-7914","authenticated-orcid":false,"given":"Sultan","family":"Kocaman","sequence":"first","affiliation":[{"name":"Department of Geomatics Engineering, Hacettepe University, Ankara 06800, Turkey"}]},{"given":"Sameer","family":"Saran","sequence":"additional","affiliation":[{"name":"Indian Institute of Remote Sensing, Indian Space Research Organisation, 4 Kalidas Road, Dehradun 248001, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6565-6639","authenticated-orcid":false,"given":"Murat","family":"Durmaz","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Hacettepe University, Ankara 06800, Turkey"}]},{"given":"Senthil","family":"Kumar","sequence":"additional","affiliation":[{"name":"ISPRS TC-V President, Former Director Indian Institute of Remote Sensing (ISRO), Dehradun 248001, India"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Singh, P., Saran, S., and Kocaman, S. (2021). Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10070463"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4182","DOI":"10.1029\/2019MS001791","article-title":"Evaluation of CNRM Earth System Model, CNRM-ESM2-1: Role of Earth System Processes in Present-Day and Future Climate","volume":"11","author":"Nabat","year":"2019","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1641\/0006-3568(2004)054[0718:WIG]2.0.CO;2","article-title":"What if GBIF?","volume":"54","author":"Wheeler","year":"2004","journal-title":"Bioscience"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Zhang, G. (2020). Spatial and Temporal Patterns in Volunteer Data Contribution Activities: A Case Study of eBird. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9100597"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Samulowska, M., Chmielewski, S., Raczko, E., Lupa, M., Myszkowska, D., and Zagajewski, B. (2021). Crowdsourcing without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10020046"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Gulnerman, A.G., Karaman, H., Pekaslan, D., and Bilgi, S. (2020). Citizens\u2019 Spatial Footprint on Twitter\u2014Anomaly, Trend and Bias Investigation in Istanbul. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9040222"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Gray, A., Robertson, C., and Feick, R. (2021). CWDAT\u2014An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10040207"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Yalcin, I., Kocaman, S., and Gokceoglu, C. (2020). A CitSci Approach for Rapid Earthquake Intensity Mapping: A Case Study from Istanbul (Turkey). ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9040266"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Vahidnia, M.H., and Vahidi, H. (2021). Open Community-Based Crowdsourcing Geoportal for Earth Observation Products: A Model Design and Prototype Implementation. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10010024"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Perdana, A.P., and Ostermann, F.O. (2019). Eliciting Knowledge on Technical and Legal Aspects of Participatory Toponym Handling. ISPRS Int. J. 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