IN23D:
Sensor Networks and Informatics for the Geosciences Posters

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Session ID#: 14139

Session Description:
Sensor networks, comprising many radio-connected sensor systems, sensor webs which include airborne and orbital platforms, plus the newly emergent Internet of Things sensors have a great potential for impact on the geosciences. The use of networked arrays of sensors from multiple vantage points, coupled with wireless telemetry, cloud storage, and on-demand high performance computing, are enabling new observations for answering some of the most complex Earth system science questions.

This session aims to showcase sensor networks from across the full range of geosciences (e.g. marine, glacial, fluvial, soils, volcanic) and discuss the recent advances and challenges in this area. Papers are welcome on new approaches using multiple measurements, new telemetry, low power design, autonomy, instrumentation, platforms, deployment methods and cloud/analysis integration. Student papers and multidisciplinary work are very welcome.

Primary Convener:  Kirk Martinez, University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom
Conveners:  Jane K Hart, University of Southampton, Southampton, SO14, United Kingdom, Geoff Bland, NASA Goddard Space Flight Center, Climate and Radiation Laboratory, Greenbelt, MD, United States and Michael S Seablom, NASA Headquarters, Washington, United States
Chairs:  Geoff Bland, NASA Goddard Space Flight Center, Climate and Radiation Laboratory, Greenbelt, MD, United States and Kirk Martinez, University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom
OSPA Liaison:  Jane K Hart, University of Southampton, Southampton, SO14, United Kingdom
Index Terms:

1694 Instruments and techniques [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1972 Sensor web [INFORMATICS]

Abstracts Submitted to this Session:

American River Hydrologic Observatory (Invited) (119549)
Steven D Glaser, University of California Berkeley, Berkeley, CA, United States, Roger C Bales, University of California Merced, Merced, CA, United States and Martha H Conklin, University of California Merced, Civil and Environmental Engineering, Merced, United States
Polar environment monitoring networks of China: an application on Prydz Bay (130225)
Wenfang Cheng, Jiangang Zhu and Shenggui Li, Polar Research Institute of China, Shanghai, China
Towards a cross-platform software framework to support end-to-end hydrometeorological sensor network deployment (133661)
Paul Celicourt, PhD.1, Richard Sam2 and Michael Piasecki1, (1)CUNY City College of New York, New York, NY, United States, (2)CUNY City College of New York, Electrical Engineering, New York, NY, United States
An Environment IoT Sensor Network for Monitoring the Environment (141987)
Kirk Martinez1, Jane K Hart2, Olivia Bragg3, Andrew Black3, Sebastian Bader4, Philip J Basford5, Graeme McLachlan Bragg6 and Arthur Fabre5, (1)University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom, (2)University of Southampton, Southampton, SO14, United Kingdom, (3)University of Dundee, Geography, Dundee, United Kingdom, (4)Mid Sweden University, Electronics and Design, Sundsvall, Sweden, (5)University of Southampton, Southampton, United Kingdom, (6)University of Southampton, Electronics and Computer Science, Southampton, United Kingdom
InfoSymbiotics/DDDAS – The power of Dynamic Data Driven Applications Systems for New Capabilities in Environmental -, Geo-, and Space- Sciences (Invited) (151180)
Frederica Darema, Air Force Office of Scientific Research, Arlington, VA, United States
Simulation and Data Analytics for Mobile Road Weather Sensors (151464)
John D Evans1, Dmitry Tislin2 and Samir R Chettri1, (1)GST, Inc., Greenbelt, MD, United States, (2)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Meteorological Data Quality from Original Equipment Manufacturer (OEM) Sensors on Commercial Vehicles (151636)
Chao-Hsi Chang1, John Pietras1, Paul Heppner2, John D Evans1 and Jing Wang2,3, (1)GST, Inc., Greenbelt, MD, United States, (2)Swingtech, Greenbelt, MD, United States, (3)Swingtech Consulting Inc., Greenbelt, MD, United States
Analysis of Spatial Autocorrelation for Optimal Observation Network in Korea (175655)
Sojung Park1, Seungyeon Lee1, Ebony Lee2 and Seon-Ki Park1, (1)Ewha Womans University, Seoul, Korea, Republic of (South), (2)Ewha Womans University, Seoul, South Korea
Exploration of Objective Functions for Optimal Placement of Weather Stations (181704)
Amelia Snyder, United States Geological Survey, Washington, D.C., United States, Thomas Dietterich, Oregon State University, Corvallis, United States and John Steven Selker, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
High Resolution Sensing and Control of Urban Water Networks (185781)
Matthew David Bartos, University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, MI, United States, Brandon Preclaro Wong, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Branko Kerkez, University of Michigan, Civil and Environmental Engineering, Ann Arbor, MI, United States
Rapid-response Sensor Networks Leveraging Open Standards and the Internet of Things (196732)
Joshua E Lieberman, Harvard University, Center for Geographic Analysis, Cambridge, MA, United States, Luis E Bermudez, Open Geospatial Consortium, Gaithersburg, MD, United States, Leinenweber Lewis, Open Geospatial Consortium Gaithersburg, Gaithersburg, MD, United States, Mike Botts, Botts Innovative Research, Huntsville, AL, United States and Steve Liang, University of Calgary, Calgary, Canada

See more of: Earth and Space Science Informatics