Supporting humanitarian aid with open UAV imagery
Last year we wrote about the imminent influx of high resolution imagery from unmanned aerial vehicles (UAVs) or drones and the great potential this could offer those agencies responding to emergency situations where the effective provision of humanitarian aid relies heavily on access to current, accurate and readily available map data.
When Typhoon Haiyan (Yolanda), reportedly the strongest typhoon to ever make landfall, struck the Philippines on the 8th of November 2013 it caused catastrophic destruction and loss of life. The Humanitarian OpenStreetMap Team (H.O.T) activated Project Haiyan to provide geographic base data for the affected areas.
However as Kate Chapman reported in a project update last month, although a large number of UAVs had been used to collect imagery immediately after the typhoon struck, much of the mapping activity was uncoordinated, resulting in fragmented data sources that were unavailable to the aid agencies. Although UAV imagery can provide much higher resolution data (5-10cm) than is currently available from satellite imagery sources (0.5m), if the data can’t be accessed when required, the relevant agencies don’t know what’s available and from whom or the licensing arrangements prohibit open access to the data, then the transient opportunities to put the data to good use are lost.
Given the increasing miniaturisation, reduced costs and availability of these devices, a register of publicly available UAV data sources, a crowdsourced OpenUAVImagery initiative or the “OpenReconstruction/Open Drone” platform described by the H.O.T. would seem to be the next step towards making the most of this data resource.