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The use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review.

, , , , and . AMCIS, Association for Information Systems, (2013)

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A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information., , , and . Trans. GIS, 22 (2): 542-560 (2018)QualiOSM: An Architecture to Improve Data Completeness on OpenStreetMap., , and . J. Inf. Data Manag., (2021)Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks., , , , and . Comput. Geosci., (2015)Does keyword noise change over space and time? A case study of social media messages., , , , and . GEOINFO, page 116-121. MCTIC/INPE, (2018)Enrichment of OpenStreetMap Data Completeness with Sidewalk Geometries Using Data Mining Techniques., , , and . Sensors, 18 (2): 509 (2018)A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review., , , and . ISCRAM, ISCRAM Association, (2017)Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015., , , and . HICSS, page 188-197. IEEE Computer Society, (2016)The use of Volunteered Geographic Information (VGI) and Crowdsourcing in Disaster Management: a Systematic Literature Review., , , , and . AMCIS, Association for Information Systems, (2013)An experimental evaluation of a crowdsourcing-based approach for flood risk management., , and . CIbSE, page 393. Curran Associates, Inc., (2015)A Systematic Review of Geospatial Web Service Composition., , and . CIbSE, page 502. Curran Associates, Inc., (2015)