IEEE GRSS third workshop on Remote Sensing Data Management Technologies in GeoScience 2023 (RSDM-GeoSci 2023)
The International Computer Science Institute (ICSI), University of California, Berkeley
July 7th, Berkeley, CA, USA
RSDM-GeoSci 2023 will be a hybrid conference, with both in-person and virtual attendance options.
- 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 (such as data discovery dashboards and data pipelines).
Important Dates
March 15th, 2023 | Call for submissions | |
May 23rd, 2023 | Abstract submission (short abstract - no more than 2 pages) | |
June 7th, 2023 | Decision notification | |
July 7th, 2023 | Workshop day |
Submissions
- Abstract Submission (No more than 2 pages - Abstract does not need to follow a template)
- Submit on Easy Chair: easychair.org/conferences/?conf=rsdmgeosci2023
- Registration link
Registration
- All attendants are required to register.
- Registration fee: FREE
- Registration link
Location
The international Computer Science Institute (ICSI), University of California, Berkeley:
Address: 2150 Shattuck Ave, Ste. 250, Berkeley, CA 94704
- Website: www.icsi.berkeley.edu/icsi/
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, Marquette University, Milwaukee, WI, USA
- Muthukumaran Ramasubramanian, NASA-IMPACT, Huntsville, Alabama, USA
- Vishal Perekadan, University of Alabama in Huntsville, Huntsville, Alabama, USA
Sponsors
- The IEEE Geoscience and Remote Sensing Society (IEEE GRSS): www.grss-ieee.org/
- The international Computer Science Institute (ICSI), University of California, Berkeley: www.icsi.berkeley.edu/icsi/
Invited Speakers
TBD
Program
TBD
Challenges
News
- IEEE GRSS first workshop on Remote Sensing Data Management Technologies in GeoScience 2022 (RSDM-GeoSci 2022)
- IEEE GRSS second workshop on Remote Sensing Data Management Technologies in GeoScience 2022 (RSDM-GeoSci 2022)
- Open Special issue in JSTARS: grssiee.wpenginepowered.com/wp-content/uploads/2022/06/Call_for_Paper_Remote-Sen...
- DBRS-WG at IGARSS 2023:
- Session Organize: CCS.20 - Advanced Data Management Technologies for Remote Sensing Data.
- Session co-Organize: CCS.30 - Advances in Spatio-Temporal Datacube Management, Visualization, Analytics and AI (IEEE ESI Committee session)