Smart Cities – Systems of Systems Interoperability and Ogc Enablers

Abstract

Abstract. The concepts of smart cities and digital twins are more and more investigated and accepted as critical tools for the cities of the future. In order to make them a concrete reality, several aspects related to the management of data have to be considered: technical issues to collect, retrieve, exchange, analyse and process data; data sovereignty issues; data semantics, features and metadata specifications. In current projects and higher level frameworks specifications, some of these issues are explored and solutions are proposed for subset of them. However, an overall framework connecting those aspects in a unique model has not been defined and tested yet. In this paper, we propose a reference model to build an interoperable system of systems supporting the implementation of smart cities and digital twins. We start from reviewing current experiences and in particular considering the OGC standards and initiatives intended to provide Open solutions for specific parts of the framework.

A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems

“…Then, the data are called, processed, and analyzed by other participants in the collaborative process. Online data can be accessed through the OGC services, and the way in which these remote sensing data are shared and accessed using the OGC standards contributes to an improvement in data utilization [45,46]. A key objective of the online remote sensing analysis model's construction and sharing activity is to enable the online analysis and sharing of models, as well as to provide a method for sharing and executing remote sensing analysis and processing models.…”

On the Development of a Dataset Publication Guideline: Data Repositories and Keyword Analysis in Isprs Domain

“…For guiding the processes in data management, the FAIR principle (find, access, interoperability and reuse) is used as a key component (Kinkade and Shepherd, 2022). Lack of interoperability, for example, restricts the use of data and constrains research innovations (Atkinson et al, 2022). In addition, the increasing amount of data poses a challenge in terms of reusability and reproducibility (Trisovic et al, 2021;Crystal-Ornelas et al, 2022).…”

“…Currently, the ISPRS only provides guidance for art- icles and websites, but no (domain) specific information regarding the publishing of data (ISPRS, 2022). Few contributions point to lack of practices (Ivánová et al, 2019;Atkinson et al, 2022). Thus, the development of a guidance for data publishing in the ISPRS domain has never been as important as it is now.…”