posted on 2007-01-01, 00:00authored byJohn M. Dolan, Gregg Podnar, Stephen Stancliff, Ellie Lin, J. Hosler, T. Ames, J. Moisan, T. Moisan, J Higinbotham, A. Elfes
We are developing a Sensor Web-relevant system
called the Telesupervised Adaptive Ocean Sensor Fleet that uses a
group of National Oceanic and Atmospheric Administration
extended-deployment autonomous surface vehicles to enable in-situ
study of surface and sub-surface characteristics of Harmful Algal
Blooms (HAB). The architecture supports adaptive reconfiguration
based on environmental sensor inputs (“smart” sensing), and
increases data-gathering effectiveness and science return while
reducing demands on scientists for tasking, control, and
monitoring. It combines and adapts prior related work done at
Carnegie Mellon University, NASA Goddard Space Flight Center,
Wallops Flight Facility, Emergent Space Technologies, and the Jet
Propulsion Laboratory. Initial multi-vessel HAB characterization
tests will be performed during summer 2007 with rhodamine dye as
a HAB simulant and an airborne sensor validation system. The
described architecture is broadly applicable to ecological
forecasting, water management, carbon management, disaster
management, coastal management, homeland security, and
planetary exploration.