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A Smart Sensor Web for Ocean Observation: Integrated Acoustics, Satellite Networking, and Predictive Modeling
 

Summary: A Smart Sensor Web for Ocean Observation: Integrated
Acoustics, Satellite Networking, and Predictive Modeling
Bruce M. Howe*, Nathan Parrish, Leonard Tracy, Andrew Gray, Yi Chao,
Tim McGinnis*, Payman Arabshahi*, Sumit Roy
*Applied Physics Laboratory, Box 355640, University of Washington, Seattle, WA, 98105
Dept. of Electrical Engineering, Box 352500, University of Washington, Seattle, WA 98195
JPL/UCLA Joint Institute for Regional Earth System Science and Eng., University of California, Los Angeles,
9258 Boelter Hall, Los Angeles, CA 90095
Abstract In many areas of Earth science, including climate
change research, there is a need for near real-time integration
of data from heterogeneous and spatially distributed sensors, in
particular in-situ and space-based sensors. The data
integration, as provided by a smart sensor web, enables
numerous improvements, namely, 1) adaptive sampling for
more efficient use of expensive space-based sensing assets, 2)
higher fidelity information gathering from data sources through
integration of complementary data sets, and 3) improved sensor
calibration. The specific purpose of the smart sensor web to be
demonstrated as part of the development presented here is to
provide for adaptive sampling and calibration of space-based

  

Source: Arabshahi, Payman - Applied Physics Laboratory & Department of Electrical Engineering, University of Washington at Seattle

 

Collections: Engineering