Advanced Data Preparation and Data Management for Geospatial and Remote Sensing Scenarios

Joint workshop of ISPRS WG IV/4 “Data Management for Spatial Scenarios” and ICWG III/IVb “Remote Sensing Data Quality”
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Today’s geospatial and remote sensing scenarios usually require the fusion of geometric, topological, and semantic data from a broad range of sources such as IoT and UAV sensors, mobile devices, BIM, GIS, digital twins, traffic simulations, and Smart Cites. Existing methods for preparation, modelling, and management of these data often cause a significant burden in data analysis processes. It is widely recognized that new advances in geospatial data preparation and management can accelerate the production of analysis-ready data and unlock the power of geospatial analytics. This workshop provides a platform to discuss new ways and best practices to prepare, model, and manage multi-dimensional geospatial and remote sensing data for static and (near) real-time applications. Contributions from academia and industry demonstrating innovative methods and tools, practical approaches, or research in progress are all welcome. The workshop will be part of the ISPRS Geospatial Week 2023, hosted by the Arab Academy for Science, Technology, and Maritime Transport, in parallel with a number of related workshops. The event is a one-day single-track workshop of oral presentations and poster/networking sessions in the context of the ISPRS Geospatial Week 2023.

University of Calgary, CANADA (WG IV/4)

Karlsruhe Institute of Technology, GERMANY (WG IV/4)

Roads and Transport Authority, Dubai    UNITED ARAB EMIRATES (WG IV/4)

Karlsruhe Institute of Technology, GERMANY (WG IV/4)

Dubai Municipality, UNITED ARAB EMIRATES (ICWG III/IVb)

Paris Lodron University Salzburg, AUSTRIA (ICWG III/IVb)

Budapest University of Technology and Economics, HUNGARY (ICWG III/IVb)

Karlsruhe Institute of Technology, GERMANY (WG IV/4)

Themes of event:
  • Data Accessibility for Smart Cities and Remote Sensing
  • Data Preparation for Geospatial or Remote Sensing Applications
  • Data Management for Geospatial or Remote Sensing Applications
  • AI Methods to support Geospatial and Remote Sensing Data Preparation or Data Management
  • Database Support for Convolutional Neural Networks and Image Classification
  • Multi-Dimensional (3D/4D/nD) Geospatial Data Modelling and Management
  • nD Data Cubes
  • Big Geospatial Data: Preparation, Modelling and Management
  • Spatio-Temporal and Trajectory Data Management
  • Geospatial Data Streaming and Data Management for Geo-Sensor Networks
  • Data Management for Real-Time Scenarios such as Traffic Simulation and Smart Cities
  • Data Integration for Building Information Models (BIM) and 3D GIS
  • Advanced Data Management Applications: Smart Environment/Cities, Digital Twins, Intelligent Transportation, Convolutional Neural Networks and Image Classification in Remote Sensing
  • Internet of Vehicles (IOV) and Intelligent Transportation Systems (ITS)
  • Geospatial Data Monetization
  • Quality Aspects of Remote Sensing Data Operations (preparation, modelling, management, uncertainty)
  • Remote Sensing for Better Future, Data Management and Quality Aspects of Environmental Monitoring including Biodiversity Analysis
Scientific Committee:
  • Mulhim Al-Doori, Roads and Transport Authority, United Arab Emirates
  • Arpad Barsi, Budapest University of Technology and Economics, Hungary
  • Mike Batty, University College London, United Kingdom
  • Peter Baumann, Jacobs University, Germany
  • Filip Biljecki, National University of Singapore, Singapore
  • Thomas Blaschke, Paris Lodron University Salzburg, Austria
  • Patrick Bradley, Karlsruhe Institute of Technology, Germany
  • Martin Breunig, Karlsruhe Institute of Technology, Germany
  • Christophe Claramunt, Naval Academy Research Institute, France
  • Volker Coors, HFT Stuttgart, Germany
  • Ihab Hamzi Hijazi, Technische Universität München, Germany
  • Umit Isikdag, Istanbul Technical University, Turkey
  • Mojgan A. Jadidi, York University, Canada
  • Markus Jahn, Karlsruhe Institute of Technology, Germany
  • Zsófia Kugler, Budapest University of Technology and Economics, Hungary
  • Paul Vincent Kuper, Karlsruhe Institute of Technology, Germany
  • Bassem Mokhtar, Egypt-Japan University of Science and Technology, Egypt
  • Morakot Pilouk, ESRI, Singapore
  • Jacynthe Pouliot, Laval University, Canada
  • Alias Abdol Ramhan, University Technology Malaysia, Malaysia
  • Friederike Reitze, Karlsruhe Institute of Technology, Germany
  • Norbert Rösch, Karlsruhe Institute of Technology, Germany
  • Emmanuel Stefanakis, University of Calgary, Canada
  • Gyorge Szabo, Budapest University of Technology and Economics, Hungary
  • Rami Zewail, Egypt-Japan University of Science and Technology, Egypt
  • Sisi Zlatanova, University of New South Wales, Australia
  • Hussein M. Abdulmuttalib, Dubai Municipality, United Arab Emirates
  • Alex Bruskin, Senticore Technologies LLC, USA

     

Supporting ISPRS Working Groups:

To be confirmed by the following and other possible WGs:

  • WG II/4 “AI / ML for Geospatial Data”
  • WG IV/2 “Artificial Intelligence and Uncertainty Modeling in Spatial Analysis”
  • WG IV/3 “Geo-Computation and Geo-Simulation”
  • WG IV/9 “Spatially  Enabled Urban and Regional Digital Twins”

 

Publication of the workshop contributions:

Accepted full papers and extended abstracts will appear at ISPRS Annals and ISPRS Archives, respectively, dedicated to this symposium after the peer-review process.