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Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task.

, , , and . Remote Sensing, 8 (9): 774 (2016)

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Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information, , , , , , , , , and 1 other author(s). ISPRS International Journal of Geo-Information, 5 (5): 55 (2016)Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game., , , , and . Int. J. Digit. Earth, 9 (4): 410-426 (2016)Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data., , , , and . COSIT, volume 8116 of Lecture Notes in Computer Science, page 243-260. Springer, (2013)A Unified Cropland Layer at 250 m for Global Agriculture Monitoring, , , , , , , , , and 6 other author(s). Data, 1 (1): 1-13 (March 2016)The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods., , , , and . ICCSAMA, volume 453 of Advances in Intelligent Systems and Computing, page 167-180. Springer, (2016)Cropland Capture - A Game for Improving Global Cropland Maps., , and . FDG, Society for the Advancement of the Science of Digital Games, (2015)Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps., , , and . Remote. Sens., 7 (6): 7959-7986 (2015)Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information., , , , , , , , , and 7 other author(s). ISPRS Int. J. Geo Inf., 5 (5): 55 (2016)Developing food, water and energy nexus workflows., , , , , , , , , and 8 other author(s). Int. J. Digit. Earth, 13 (2): 299-308 (2020)Digital Zusammenwachsen: Forschungsdatenmanagement im Forschungsverbund MWW., , and . DHd, (2016)