The lack of interoperability is due to the inability to have communication standards that can facilitate the exchange of information. The digital revolution, and in particular the digitization process we have witnessed over the last decade, is increasingly raising awareness of the importance of data interoperability, which is essential for fully exploiting data and creating new series that can foster understanding of a monitored object. In this presentation, we would like to show an implemented solution on Lake Lugano, where we developed an integrated system that uses as much open-source licensed technology as possible to integrate different data sources, including historical time series, citizen science, satellite, and in-situ sensor data. We have implemented a complete pipeline to integrate different data sources, using processes that can organize and make the time series accessible, and serve them via standard services such as the Sensor Observation Service (SOS) of the Open Geospatial Consortium (OGC). Our proposition also includes the creation of an Automatic High-Frequency Monitoring (AHFM) system built using cost-effective principles and meeting open design requirements. We apply it for the development of an algorithm to calculate the Primary Production of Lake Lugano starting from the dissolved oxygen variations. Thanks to the data integration, we could easily compare time series and make validations. Additionally, we could automatically create some basic indicators by using the historical time series collected from the traditional campaigns performed on the lake.

Primary Presenter: Daniele Strigaro, SUPSI (daniele.strigaro@supsi.ch)

Authors:

Massimiliano Cannata, IST-SUPSI  ()

Camilla Capelli, IST-SUPSI  ()

Fabio Lepori, IST-SUPSI  ()