GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

Abstract

Abstract:The nature of contemporary Spatial Data Infrastructures lies in the provision of geospatial information in an on-demand fashion. Though recent applications identified t he n eed t o react to real-time information in a time-critical way. In particular, research efforts in the field of geospatial Internet of Things have identified substantial gaps in this context, ranging from a lack of standardization for event-based architectures to the meaningful handling of real-time information as "events". This manuscript presents work in the field of Event-driven Spatial Data Infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of Spatial Data Infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches -developed in different research projects -to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall Event-driven Spatial Data Infrastructure.

WaCoDiS: Automated Earth Observation Data Processing within an Event-Driven Architecture for Water Monitoring

“…Conventional Spatial Data Infrastructures (SDIs) often lack the provision of up-to-date data without any manual interaction since they rely on request/response patterns (Rieke et al, 2018). Thus, implementing a full automated processing pipeline, including the dissemination of processing results, is hard to achieve if it comes to the integration of existing SDIs.…”