Title: ILEOS: A New Observing System to Maximize High Spatio-Temporal Data
Presenting Author: Meghan Saephan
Organization: NASA Ames Research Center
Co-Author(s): Valerio Pascucci, Manish Parashar, Philip Davis, Alexander Goodman, and Colin Raymond

Abstract:
Emerging High-Altitude Long Endurance Uncrewed Aerial Systems (HALE UAS) are promising new platforms that have the potential to operate for extended periods of time (months) and loiter over targets. Unlike satellites that are subject to orbit times, low altitude vehicles that have limited flight times, and in-situ sensors with limited sensing range, HALE UAS will have the ability to provide data at higher spatial and temporal resolutions enabling the observation of stochastic, ephemeral events or longer lasting phenomenon that current observing systems are unable to capture. The Intelligent Long Endurance Observing System (ILEOS) project aims to develop a science activity planning pipeline that will enable scientists and other non-expert operators to effectively build mission plans for HALE UAS. ILEOS will fuse coarse-grained data available from satellites and other sources (e.g., meteorological forecasts) to generate plans to maximize the collection of finer-grained (high spatio-temporal) data.