Applying OGC Standards to Develop a Land Surveying Measurement Model

Abstract

Abstract:The Open Geospatial Consortium (OGC) is committed to developing quality open standards for the global geospatial community, thus enhancing the interoperability of geographic information. In the domain of sensor networks, the Sensor Web Enablement (SWE) initiative has been developed to define the necessary context by introducing modeling standards, like 'Observation & Measurement' (O&M) and services to provide interaction like 'Sensor Observation Service' (SOS). Land surveying measurements on the other hand comprise a domain where observation information structures and services have not been aligned to the OGC observation model. In this paper, an OGC-compatible, aligned to the 'Observation and Measurements' standard, model for land surveying observations has been developed and discussed. Furthermore, a case study instantiates the above model, and an SOS implementation has been developed based on the 52 • North SOS platform. Finally, a visualization schema is used to produce 'Web Map Service (WMS)' observation maps. Even though there are elements that differentiate this work from classic 'O&M' modeling cases, the proposed model and flows are developed in order to provide the benefits of standardizing land surveying measurement data (cost reducing by reusability, higher precision level, data fusion of multiple sources, raw observation spatiotemporal repository access, development of Measurement-Based GIS (MBGIS)) to the geoinformation community.

Applying OGC Sensor Web Enablement Standards to Develop a TDR Multi-Functional Measurement Model

“…Additionally, Sofos et al defined the land survey data module using SOS v2.0. This model data group realized multi-point monitoring station spatial information query [33].…”

“…In addition, Sofos et al [33] implemented the OGC O&M and SOS in describing the land surveying measurement model, especially focusing on the Total Station/Positioning System (TPS), and XML request documents were subsequently developed. Stasch et al [34] developed coupling sensor observation services and web processing services for online geoprocessing in water dam monitoring by implementing the standardized XML-based interface and lightweight Representational State Transfer (REST) APIs, where REST is a software architectural style that defines constraints to be used for creating Web services.…”