IN41A:
Challenges and Opportunities Associated with Autonomous Sensing Systems Posters

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Session ID#: 30530

Session Description:
Autonomous sensing systems are now capable of gathering data for earth and space science and are the focus of research in many different domains. The systems being used and produced range from autonomous vehicles (particularly Unmanned Aircraft systems -UAS) to sensor network systems. The science applications are maturing, from simply testing platform capabilities to more complex data collection and research. With this shift, data and information challenges abound. . Calibration and validation of sensor data is critical for achieving meaningful science goals. Integration of data from a variety of instruments on one between sensor systems (e.g. satellite, ground based, other UAS) presents cutting-edge opportunities to fill gaps in geospatial monitoring. Yet there remain significant data and information challenges in these areas. This session will cover the state of the art in the use of autonomous sensing systems to study many aspects of earth and space including: current data and information challenges in the use of sensor systems, work demonstrating techniques and tools for sensor system data management, integration, interoperability and sharing, and research showcasing best practices.
Primary Convener:  Kirk Martinez, University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom
Conveners:  Michael S Seablom, NASA, Washington, DC, United States, Lindsay Barbieri, University of Vermont, Burlington, VT, United States and Janet Wyngaard, University of Notre Dame, Center for Research Computing, Notre Dame, IN, United States
Chairs:  Lindsay Barbieri, University of Vermont, Burlington, VT, United States, Janet Wyngaard, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Kirk Martinez, University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom and Michael S Seablom, NASA Headquarters, Washington, United States
OSPA Liaison:  Janet Wyngaard, NASA Jet Propulsion Laboratory, Pasadena, CA, United States

Cross-Listed:
  • B - Biogeosciences
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1942 Machine learning [INFORMATICS]
1998 Workflow [INFORMATICS]

Abstracts Submitted to this Session:

Sensor Webs to Constellations (222347)
Marge Cole, NASA Headquarters, Washington, DC, United States; NASA AIST- SGT, Inc., Greenbelt, MD, United States
Cryospheric monitoring with new low power RTK dGPS systems (260401)
Kirk Martinez1, Jane K Hart2, Graeme McLachlan Bragg3 and Joshua S Curry3, (1)University of Southampton, Electronics and Computer Science, Southampton, SO14, United Kingdom, (2)University of Southampton, Geography and Environment, Southampton, SO14, United Kingdom, (3)University of Southampton, Electronics and Computer Science, Southampton, United Kingdom
Using an autonomous Wave Glider to detect seawater anomalies related to submarine groundwater discharge - engineering challenge (272995)
Warner Brueckmann1, Patrick Leibold2, Mark Schmidt1, Hajar Al Balushi3 and Omar Al Abri3, (1)GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany, (2)GEOMAR Helmholtz Centre for Ocean Research Kiel, Directorate, Kiel, Germany, (3)IATI, The Research Council, Sultanate of Oman, Muscat, Oman
Ubuntu Core Snaps for Science (231867)
Janet Wyngaard, University of Notre Dame, Center for Research Computing, Notre Dame, IN, United States
Long-term monitoring on environmental disasters using multi-source remote sensing technique (237402)
Yao-CHENG Kuo and Chi-Farn Chen, Center for Space and Remote Sensing Research, Jhongli, Taiwan
Deployment of Small Unmanned Aerial Systems (sUAS) in Emergency and Disaster Response Scenarios to Support Local Emergency Management Agencies (284440)
Casey Lee Calamaio1, John Walker2, John Malone Beck1, Sara J Graves3 and Chris Johnson4, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)Contractor, Huntsville, AL, United States, (3)Univ. of Alabama/Huntsville, Huntsville, United States, (4)GISP, Huntsville, AL, United States
Applications of UAVs to Measurement and Monitoring of Anthropogenic Contamination of an Urban Wildlife Preserve (301514)
Emmanuel Higa1, Daniel Valencia1 and Andrew Hunt2, (1)University of Texas at Arlington, Arlington, TX, United States, (2)University of Texas, Arlington, Arlington, TX, United States
Quantifying vegetation distribution and structure using high resolution drone-based structure-from-motion photogrammetry (207913)
Junzhe Zhang and Greg S Okin, University of California Los Angeles, Department of Geography, Los Angeles, CA, United States

See more of: Earth and Space Science Informatics