IEEE GRSS third workshop on Remote Sensing Data Management Technologies in GeoScience 2023 (RSDM-GeoSci 2023)

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

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, 2023Call for submissions 
May 23rd, 2023Abstract submission (short abstract – no more than 2 pages) 
June 7th, 2023Decision notification 
July 7th, 2023Workshop day 

Submissions

Registration

Location

The international Computer Science Institute (ICSI), An Affiliated Institute of theAn  University of California, Berkeley:

Address: 2150 Shattuck Ave, Ste. 250, Berkeley, CA 94704

Organizers

  • Kesheng Wu, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Khalid Belhajjame, Paris-Dauphine University, Paris, France
  • Dai-Hai Ton That, DePaul University, Chicago, IL, 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), An Affiliated Institute of the University of California, Berkeley: www.icsi.berkeley.edu/icsi/

Invited Speakers

We are happy to announce our keynote speakers:

Prof. Damian Borth: Director of the Institute of Computer Science at the University of St. Gallen

Topic: “Data-efficient Deep Learning for Remote Sensing”

Prof. Ming Zhao: Associate Professor, Arizona State University

Topic: DataStorm (from Cloud to Edge): A Data-driven System for Disaster Management

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

Topic: Scalable Data Management and Applications for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program”

Dr. Dan Hammer: Founder and Partner at Earthrise Media and a Climate Fellow and Senior Advisor at X

Topic: “A Foundation Model for Earth Observation”


Program

IEEE GRSS Remote Sensing Data Management Technologies in GeoScience 2023 Program – Berkeley, CA, USA

Location: The International Computer Science Institute (ICSI), An Affiliated Institute of the University of California, Berkeley

Friday, July 7, 2023

Registration and workshop opening: 8:45am – 9:10am (PT)

8:45 – 9:10

Workshop Registration

9:00 – 9:10

Workshop Welcoming and Introduction – Dr. Lea Shanley

9:15 – 12:15 (PT)

Session 1 – Session Chair: Kesheng (John) Wu

9:15 – 10:00: Key Note 1“virtual”

  • Invited speaker: Dr. Dan Hammer
  • Topic: “A Foundation Model for Earth Observation”


10:00 – 10:45: Key Note 2
  –
“in-person”

  • Invited speaker: Dr. Aaron Kaulfus
  • Topic: Scalable Data Management and Applications for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program”


10:45 – 11:05: Presentation 1
“virtual”

  • Authors: Juliet Lee
  • Topics: Edge Computing for Efficient Data Management in Remote Sensing with Drones


11:05 – 11:25: Presentation 2 –
“inperson”

  • Authors: Manoj P
  • Topics:Predicting Stroke Risk: An Analysis of Demographic and Clinical Factors Using Machine Learning Methods”

11:30-13:00 

Lunch Break

13:00 – 14:45

Session 2 – Session Chair: Priya Deshpande

13:00 – 13:45: Key Note 3 – “in-person”

  • Invited speaker: Dr. Ming Zhao
  • Topic: DataStorm (from Cloud to Edge): A Data-driven System for Disaster Management


13:45 – 14:05: Presentation 3
  –
“in-person”

  • Authors: Bin Dong, Avinash Nayak, Kesheng Wu and Veronica Rodriguez
  • Topics: “Complexity of Parallelizing Template-matching Algorithm for Earthquake Detection on DAS Data”


14:05 – 14:25 Presentation 4
 –
“in-person”

  • Authors: Lalita Chaudhary, Shakti Sharma and Simranjit Singh
  • Topic: “Comparative Analysis of Sea Surface Temperature Prediction in Arabian Sea Using 30 years SEVIRI Satellite Data”


14:25 – 14:45: Break 

14:45 – 16:25

Session 3 – Session Chair: Muthukumaran Ramasubramanian/Vishal Perekadan

14:45 – 15:30 Key Note 3 –virtual”

  • Invited Speaker: Prof. Dr. Damian Borth
  • Topic: “Data-efficient Deep Learning for Remote Sensing”


15:30 – 15:50 Presentation 5  –
“virtual

  • Authors: Abdelwahed Chaaou, Mohamed Chikhaoui, Mustapha Naimi, Aissa Kerkour El Miad and Marieme Seif-Ennasr
  • Topics: Assessing soil salinity mapping through land degradation index using remote sensing techniques”


15:50 – 16:10 Presentation 6  –
in-person”

  • Authors: Yuetong Ma and Hui Zeng
  • Topics: Advanced Machine Learning Algorithms for Multi-Remote Sensing Data Analysis and Disaster Management: A Case Study of Typhoon Mangkhut”
16:10 – 16:25

Workshop Closing 

Remark & Call for special issue in IEEE GRSS J-STARS journal

Challenges

News