OGC’s Community Contributed Sessions

3D mapping is a fundamental process for creating three-dimensional digital representations of reality that are required for both local modeling e.g,. of water/air circulation and global monitoring like ocean altimetry. Many of these processes involve remote sensing techniques and data. This session addresses the current challenges that arise in the context of 3D mapping from Remote Sensing (RS) collections and processing workflows: How do you cost-effectively create a high-quality, reliable, sufficiently up-to-date and accurate dataset on a regional and global scale? What role does AI play in this context? What is the role of 3D mapping in building and operating Digital Twins of the urban environment? How do we integrate LiDAR, SAR, optical imagery, and in-situ sensing together with AI to produce models that are both photo-realistic and functionally object-oriented? How can we use 3D environments in models for simulation and prediction? How can we exchange and combine information about 3D objects within and between models? What role does remote sensing play for infrastructure/urban planning, governance, proactive maintenance and monitoring?

Submit an abstract: https://2023.ieeeigarss.org/Papers/Submission.asp?SessionType=CCS&ID=2004

Across a wide spectrum of organizations, Open Science is recognized as an important catalyst for innovation. Based on core principles that include accessibility, reproducibility, inclusiveness, and transparency, Open Science enabled by technology and sound practices creates the premises for better, faster scientific research results as well as higher acceptance and impact on society. Focusing on the disciplines of Geosciences and Remote Sensing, Open Science is presently found at various degrees of maturity as well as applicability. In the general realm of Earth Observation, it has so far been implemented mostly at a project level in the context of tensions between transparency, privacy, and propriety. However, dedicated Open Science initiatives and technology development are beginning to emerge that address these tensions and provide ways forward.

Addressing global challenges and answering complex research questions about the Earth System rely on scientific communities working across disciplinary and institutional boundaries, supported by effective access to inter-agency, cross-community Earth Observation Science data, knowledge, and computing infrastructures. Open Science can bring enormous value to these endeavors by offering interoperable systems working across domains with heterogeneous data that “make the scientific process as transparent (or open) as possible by making all elements of a claimed discovery readily accessible, enabling results to be repeated and validated” [NASA Earth].

Earthquakes, droughts, floods, forest fires: The earth’s surface is shaped by an interaction of forces that is impressively revealed especially during such events. Understanding these complex interactions and the implications for people living today and in the future requires an interdisciplinary approach across existing institutional and administrative boundaries. Understanding the role of geospatial processes in these interactions requires the integration of Earth Observation results with data, information, and approaches from other communities. The collaboration of the Earth Observation community with social scientists, statisticians, and economists provides the basis for understanding geospheric processes in the context of a growing world population and a globally organized economy.

This session will explore the latest developments in the field of Open Science. It will discuss the particular role of remote sensing and its integration into a multi-stakeholder environment.

Submit an abstract: https://2023.ieeeigarss.org/Papers/Submission.asp?SessionType=CCS&ID=2028

In any knowledge application domain such as urban digital twin modeling, climate monitoring, agricultural production prediction, or environmental impact assessment, a key challenge is to develop a shared data infrastructure that integrates remote sensing data with IoT and reporting data to support critical decisions and actions. Of particular interest in this context is the role of scale. How can observations from the small-scale satellite realm be transferred to larger scales, such as those required when considering cities or parts of them? This session will analyze challenges with integrating remote sensing and in-situ data that is collected at different scales to support applications at other specific scales.. It will investigate aspects such as transferability of results from one location to another, Analysis Ready Data and Decision Ready Information products that result from IoT-based in-situ measurements and remote sensing data, and the general production of knowledge from multi-sensor data fusion. The session will investigate to which extent it is possible to form a “single information space” in a remote sensing and in-situ data realm that is heterogeneous in space, time, and observed phenomena.

Submit an abstract: https://2023.ieeeigarss.org/Papers/Submission.asp?SessionType=CCS&ID=2029

Remote sensing plays an important role in understanding the state of the atmosphere. Satellite data often form the basis for assessing greenhouse gas and other emissions and air pollutants. This session will discuss current issues in global and regional atmospheric assessment. Ways in which the integration of remote-sensed and in situ data, data generated by AI processes, and simulation data can improve atmospheric state assessment will be highlighted. This area has gained new momentum, not least with the global stocktake resulting from the Paris Agreement on global climate targets. Air pollution measurements have direct consequences in many aspects of our daily lives, whether through traffic restrictions or the planning of new infrastructure projects.

Submit an abstract: https://2023.ieeeigarss.org/Papers/Submission.asp?SessionType=CCS&ID=2076

The concept of Analysis Ready Data (ARD) was initially developed by CEOS, the Committee on Earth Observation Satellites, an international interagency member organization coordinating civilian satellite remote sensing activities. CEOS has developed its own definition, CEOS ARD. CEOS ARD are satellite data that have been processed to a minimum set of quality and compatibility requirements, then published in a form that maximizes interoperability between datasets collected at different times or on different platforms. The goal is to facilitate data analysis and exploitation with the least user “data wrangling”. CEOS has developed a number of ARD product family specifications and has set up an ARD Oversight Group to manage the development of CEOS ARD specifications. CEOS, not being a standardization organization, has also realized the importance of transitioning ARD specifications to formal status via international standard bodies such as OGC and ISO. Both of these organizations are currently collaborating with CEOS in working towards coordinated, internationally recognized ARD standards suites that can be incorporated into governmental and organizational procurements and conformance processes.

ARD standards are just one aspect of making remote sensing data more FAIR (Findable, Accessible, Interoperable, Reusable). Other aspects include recipes and workflows for Decision Ready Information (ARD integrated and processed to support the needs of a particular application domain), and organization of large dataset collections into geo datacubes, i.e., information models that index heterogeneous source data within a common set of orthogonal dimensional axes.

This session will explore the role and latest achievements of standardization in these contexts. It will provide a platform to discuss the way forward within and across multiple standardization bodies with specific standardization strategies and next steps.

Submit an abstract: https://2023.ieeeigarss.org/Papers/Submission.asp?SessionType=CCS&ID=2137