Towards Realisation of Heterogeneous Earth-Observation Sensor Database Framework for the Sensor Observation Service based on PostGIS
Maduako N. Ikechukwu, Francis I. Okeke

TL;DR
This paper proposes a PostGIS-based heterogeneous sensor database framework to improve integration, reduce communication load, and enhance spatial analysis of remote and in-situ Earth observation data within Sensor Observation Services.
Contribution
It introduces a novel database framework that integrates diverse sensor data at the database level, optimizing geospatial processing and reducing middleware workload.
Findings
Reduced communication and processing workload in sensor data services
Enhanced flexibility in user query requests
Improved integration of remote and in-situ sensor observations
Abstract
Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote Geosensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication-work load on the service middleware. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database This paper therefore proposes the realization of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Management and Algorithms · Geographic Information Systems Studies · Advanced Computational Techniques and Applications
