Volunteer classifications of images from the Cropland Capture game

Each entry represents a single classification of a single image by a volunteer rater. The dataset contains six columns: imgid: The unique identifier for each image used in the Cropland Capture campaign userid: The unique identifier for each volunteer in the Cropland Capture campaign rating: The answer provided; can be only one of the following: 1: yes cropland 2: no cropland 0: maybe date: Timestamp of the rating ratingid: The unique identifier of the rating (this is different for each data row) platform: What interface did the volunteer use to provide this rating? 1: iPhone5 2: iPhone, other models 3: iPad 4: Browser >100: Android; different numbers indicate the screen size in pixels For more information, please see the following publications: Salk, CF, T Sturn, L See, S Fritz (2017). Limitations of majority agreement in crowdsourced image interpretation. Transactions in GIS, 21: 207–223. Salk, CF, T Sturn, L See, S Fritz (2016). Local knowledge and professional background have a minimal impact on volunteer citizen science performance in a land-cover classification task. Remote Sensing, 8: 744. Salk, CF, T Sturn, L See, S Fritz and C Perger (2016). Assessing quality of volunteer crowdsourcing contributions: Lessons from the Cropland Capture game. International Journal of Digital Earth, 9(4): 410-426.