IEEE GRSS workshop on Remote Sensing Data Management Technologies in GeoScience 2022 (RSDM-GeoSci 2022)

IEEE GRSS workshop on
Remote Sensing Data Management Technologies in GeoScience 2022
(RSDM-GeoSci 2022)

The National Space Science Technology Center (NSSTC), University of Alabama in Huntsville

June 24th, Huntsville, Alabama - hybrid/virtual

Sponsored by IEEE GRSS ESI and UAH’s ESSC 
Technically supported by CODATA-Germany

  • Aims and Scope
  • Important Dates
  • Submission
  • Registration
  • Location
  • People
  • Sponsors
  • Program
  • Challenges
  • Latest News

Aims and Scope

While we are experiencing a rapid increase in Volume, Velocity and Variety of Remote Sensing data, most Remote Sensing platforms and systems are still relying on the traditional data management strategies. These strategies use file management systems or relational data management systems to manage data objects, their catalogs, and the associated metadata. However, with the explosion of data in Remote Sensing, this approach is reaching its limits in both data and metadata management, significantly reducing the performance of application layers on top of those Remote Sensing platforms and systems. The aims of RSDM-GeoSci are to promote the effective uses of appropriate data management technologies and to increase the value of Remote Sensing data. In this inaugural workshop, we focus on bringing together a research community to review the state of art in data management tools and understand the application requirements. Invited talks and submissions to workshops would describe consolidated requirements, novel research topics, use cases of emerging technologies, and application trends. Topics may include, but are not limited to:

  • Spatio-temporal database solutions for Big Remote Sensing Data
  • Graph databases, knowledge graph, graph visualization, web semantics tools/technologies for managing and discovering data and metadata in Remote Sensing
  • Novel database solutions for Analysis-Ready Data (ARD)
  • Using Big Data management and analysis tools for Remote Sensing data management and analysis
  • (Near-)Real-time intelligence from Remote Sensing platforms


The workshop also welcomes submissions showcasing use cases that describe adaptations and enhancements of data management technologies for use in real-world remote-sensing applications.

Important Dates

April 15, 2022 Call for submissions
May 15, 2022 Abstract submission (short abstract - no more than 1 page)
May 25, 2022 Decision notification
June 24, 2022 Workshop day

Submissions

Registration

Location

Conference room 4078

The National Space Science Technology Center (NSSTC),

University of Alabama in Huntsville,

320 Sparkman Dr NW, Huntsville, AL 35805

Organizers

  • Kesheng Wu, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Khalid Belhajjame, Paris-Dauphine University, Paris, France
  • Dai-Hai Ton That, University of Alabama in Huntsville, Huntsville, Alabama, USA
  • Priya Deshpande, Christopher Newport University, Newport News, VA, USA
  • Muthukumaran Ramasubramanian, NASA-IMPACT, Huntsville, Alabama, USA
  • Vishal Perekadan, University of Alabama in Huntsville, Huntsville, Alabama, USA
  • Nishan Pantha, University of Alabama in Huntsville, Huntsville, Alabama, USA
  • Manoj Purohit, Christopher Newport University, Newport News, VA, USA

Sponsors

 

Program

TBD

Invited Speakers

We are happy to already announce our keynote speakers:

Peter Baumann, Prof.: Jacobs University Bremen, Germany

Topic: “Serving Earth Datacubes with the rasdaman Array Database System”

Mike Rilee, Ph.D.: Rilee Systems Technologies LLC

Topic: “Event-based Analyses and Associations on a Data Diversity Harmonizing Framework”

Manil Maskey, Ph.D.: Manager, Senior Research Scientist, NASA

Topic: “Data Systems Evolution”

Katie Baynes, Ph.D.: Deputy Chief Science Data Officer, Mary W. Jackson NASA Headquarters

Topic: “Evolving Scientific Data Management Strategies Across NASA”

Aaron S. Kaulfus, Ph.D.: Research Scientist, NASA

Topic: “The NASA Commercial Smallsat Data Acquisition (CSDA) Program Cloud Native Data System”

Challenges

News

 

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