istSOS, a new sensor observation management system: software architecture and a real-case application for flood protection

Cannata, Massimiliano; Antonovic, Milan; Molinari, Monia Elisa; Pozzoni, Maurizio

doi:10.1080/19475705.2013.862572

Cited by 21 publications

(18 citation statements)

References 6 publications

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“…As a general remark, the authors underline the fact that the QoS limits set for INSPIRE's download service are designed to serve data to generally support the formulation, implementation, monitoring and evaluation of policies and activities, which have a direct or indirect impact on the environment. In this regard, this research has demonstrated that istSOS is suitable for most of the scientific or operational applications where data are accessed by tens of users with peaks of one hundred in emergency cases [14,39]. However, it also demonstrated that its capacity of scaling with increasing size of monitoring network, either in term of number of stored observations or sensors, is limited.…”

Section: Discussionmentioning

confidence: 93%

“…In 2010, during a renewal of the hydro-meteorological monitoring network of the Canton Ti-cino, the Institute of Earth Sciences at the University of Applied Science and Arts of Southern Switzerland (IST-SUPSI) started the development of an implementation of the Sensor Observation Service standard from the OGC named istSOS [38]. As described in detail in Cannata et al [39] the software has been based on the objective of creating a simple and open source implementation of the Sensor Observation Service standard written in Python language. This standard met the needs of collecting observations in near-real-time from the sensors, publishing information on the monitoring system and sharing data in near-real-time in an interoperable way.…”

Section: Istsosmentioning

confidence: 99%

“…istSOS has been used in several research applications in recent years [37,39,[41][42][43] and is currently undergoing the incubation process of OSGeo, which is aiming to promote the highest quality Open Source Geospatial Software. This process is exploited by verifying that the project has a successfully operating open and collaborative development community, has clear Intellectual Property (IP) oversight of the code and implements OSGeo operating principles of having: (i) clear documentation on how it is managed, (ii) maintained developer and user documentation, (iii) maintained source code management system, (iv) maintained issue tracking system, (v) maintained project mailing lists, (vi) automated build and smoke test systems.…”

Section: Istsosmentioning

confidence: 99%

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Performance Testing of istSOS under High Load Scenarios

Cannata¹,

Antonovic²,

Strigaro³

et al. 2019

IJGI

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In the last 20 years, a mainstream in Earth information and decision making has been drawn by the vision of the digital earth that calls for 3D representation, interoperability and modelling. In this context, the time dimension is essential but despite its importance, not many open standards and implementations are available. The Sensor Observation Service from the Open Geospatial Consortium is one of them and was specifically designed to collect, store and share timeseries of observations from sensors. To better understand the performance and limitation of one software implementation of this standard in real cases, this study executed a load testing of the istSOS application under a high load condition, characterized by a high number of concurrent users, in three cases mimicking existing monitoring networks. The results, in addition to providing reference values for future similar tests, show the general capacity of istSOS in meeting the INSPIRE quality of service requirements and in offering good performance with less than 500 concurrent users. When the number of concurrent users increases to 1000 and 2000, only 80% of the response times are below 30 seconds, performance that is unsatisfactory in most modern usages.

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Section: Discussionmentioning

confidence: 93%

Section: Istsosmentioning

confidence: 99%

Section: Istsosmentioning

confidence: 99%

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Performance Testing of istSOS under High Load Scenarios

Cannata¹,

Antonovic²,

Strigaro³

et al. 2019

IJGI

View full text Add to dashboard Cite

show abstract

“…The OAT library implements two main classes: the Sensor class that is designated to handle time-series data and metadata and the Method class designated to represent a processing method. The Sensor class took inspiration from the SOS and it's istSOS implementation [19], with specific simplifications to ease its usage. A Sensor object is characterized by two components: a PANDAS time-series storing observations and a point feature with metadata.…”

Section: Data Integration Modulementioning

confidence: 99%

Open source GIS platform for water resource modelling: FREEWAT approach in the Lugano Lake

2017

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The FREEWAT platform is an innovative Free and Open Source water resource modelling platform integrated in the QGIS geospatial software, using the SpatiaLite database, and including globally-established simulation codes from the USGS MODFLOW models family. This paper demonstrates its application to the Lugano Lake basin case study, Switzerland and Italy. Two specific modules of the platform were used to execute data integration and analyses: the Observation Analysis Tool and the Lake Package. The first one is a newly developed module facilitating the integration of time-series observations into modelling by enabling pre-and post-processing in the model environment; the latter is an existing MOD-FLOW package allowing dynamic evaluation of groundwater/lakes interaction. In the case study implementation, a participatory approach was adopted to enhance trust and acceptance of results. These show that integration of simulation codes within GIS is highly appreciated. Furthermore, its openness and freeness allow easily sharing of developed analysis and models. Stakeholders also positively evaluated the participatory process as it empowers decision making with a better understanding of model results and uncertainties. The combination of the FREE-WAT platform and the participatory approach may constitute a valuable methodology to include scientifically based analysis to be used for policy design and implementation.

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“…The istSOS tutorial [47] proposes a structure whereby any meteorological station is defined as an SOS procedure linked with observed properties (sensor parameters). The procedures are grouped automatically with an SOS offering (-temporary‖).…”

Section: Climate Data Servicesmentioning

confidence: 99%

Multi-Source Data Processing Middleware for Land Monitoring within a Web-Based Spatial Data Infrastructure for Siberia

Eberle

Clausnitzer

Hüttich

et al. 2013

IJGI

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Land monitoring is a key issue in Earth system sciences to study environmental changes. To generate knowledge about change, e.g., to decrease uncertaincy in the results and build confidence in land change monitoring, multiple information sources are needed. Earth observation (EO) satellites and in situ measurements are available for operational monitoring of the land surface. As the availability of well-prepared geospatial time-series data for environmental research is limited, user-dependent processing steps with respect to the data source and formats pose additional challenges. In most cases, it is possible to support science with spatial data infrastructures (SDI) and services to provide such data in a processed format. A data processing middleware is proposed as a technical solution to improve interdisciplinary research using multi-source time-series data and standardized data acquisition, pre-processing, updating and analyses. This solution is being implemented within the Siberian Earth System Science Cluster (SIB-ESS-C), which combines various sources of EO data, climate data and analytical tools. The development of this SDI is based on the definition of automated and on-demand tools for data searching, ordering and processing, implemented along with standard-compliant web services. These tools, consisting of a user-friendly download, analysis and interpretation infrastructure, are available within SIB-ESS-C for operational use.

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istSOS, a new sensor observation management system: software architecture and a real-case application for flood protection

Cited by 21 publications

References 6 publications

Performance Testing of istSOS under High Load Scenarios

Performance Testing of istSOS under High Load Scenarios

Open source GIS platform for water resource modelling: FREEWAT approach in the Lugano Lake

Multi-Source Data Processing Middleware for Land Monitoring within a Web-Based Spatial Data Infrastructure for Siberia

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