Johnson, PeterRicker, BrittaHarrison, Sara2021-01-252021-01-252017-01-04https://aisel.aisnet.org/hicss-50/dsm/digital_location/3Orthorectified imagery is valuable for a wide range of initiatives including environmental change detection, planning, and disaster response. Obtaining aerial imagery at high temporal and spatial scale has traditionally been expensive. Due to lower costs and improved ease of use, unmanned aerial vehicles (UAVs) have been increasingly prevalent. This presents an opportunity to share images as part of participatory geographic information systems initiatives similar to OpenStreetMap. We outline a workflow to generate maps from UAV aerial images. We then present a characterization of software platforms currently available to aide development of maps from UAV imagery, defined by type of service, whether imagery hosting or data processing. From this analysis we identify existing barriers to imagery sharing, including data licensing, data quality, and user engagement.enAttribution-NonCommercial-NoDerivatives 4.0 InternationalConference Paper