OpenIoT & ELC 2016

Unmanned Aircraft Systems present the Earth Sciences with a remarkable opportunity. From simple safety, environmental impact, and regional access gains, through to better resolution sampling, and a chance for data capture repeatability time scales not previously possible or economical. However a scientist currently requires a engineering team and big budget to use a UAS. With their ubiquity this shouldn't be the case, cheap off-the-shelf options are more than capable for some classes of data capture if sensor data logging capabilities are added. SSEDD offers a solution, a software stack designed for science (in its use of standards, sensor support, ease of use, UAS platform independence. Utilizing Ubuntu Snappy's proliferation on mini-computers and snap infrastructure, ROS for sensor streams, MongoDB for real-time data triage, and leveraging other science data standards projects.