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Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game.

, , , , and . Int. J. Digit. Earth, 9 (4): 410-426 (2016)

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Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game., , , , and . Int. J. Digit. Earth, 9 (4): 410-426 (2016)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)An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource., , , , and . Remote Sensing, 10 (3): 376 (2018)Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities., , , , , , , , and . ISPRS Int. J. Geo Inf., 4 (1): 199-219 (2015)Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling., , , , , , , , , and 3 other author(s). JURSE, page 1-4. IEEE, (2015)Usability of VGI for validation of land cover maps., , , , and . Int. J. Geogr. Inf. Sci., 29 (7): 1269-1291 (2015)Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (5): 1841-1853 (2016)Assessing the suitability of GlobeLand30 for mapping land cover in Germany., , and . Int. J. Digit. Earth, 9 (9): 873-891 (2016)Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map., , , , , , and . Remote. Sens., 8 (3): 261 (2016)Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (7): 3097-3105 (2016)