Exploiting observations and measurement data standard for distributed LTER-Italy freshwater sites. Water quality issues
- Published
- Accepted
- Subject Areas
- Spatial and Geographic Information Systems, World Wide Web and Web Science
- Keywords
- Sensor Web Enablement, Spatial Data Infrastructure, Ecological research, Free and Open Source Software for Geospatial
- Copyright
- © 2016 Lanucara et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Exploiting observations and measurement data standard for distributed LTER-Italy freshwater sites. Water quality issues. PeerJ Preprints 4:e2233v2 https://doi.org/10.7287/peerj.preprints.2233v2
Abstract
Water quality is a multi-source, multi-purpose problem that needs exploiting observations, often taken by a number of heterogeneous bodies. This problem has been tackled within the Italian Long Term Ecological research network (LTER-Italy) in an experiment aimed at testing how ecological observations of mountain lakes water can be shared by OGC (Open Geospatial Consortium) standard services of the Sensor Web Enablement (SWE) initiative. A friendly and easy implementation of these services is fostered by the usage of the open source software Geoinformation Enabling Toolkit StarterKit ® (GET-IT). It has been used in the experiment to create SOS services, upload observations and create SensorML metadata of the involved sensors. This contribution describes the experiment and presents its results.
Author Comment
In the version 2 we have:
- Improved the literature review on the subject in the section Introduction and Conclusion.
- Added a discussion on the selection of the used software stack and a comparison with other possible alternatives in the section Method.
- Improved the discussion in terms of software developments and future data additions in the section Conclusion.
