Observer network and forest fire detection

Šerić, Ljiljana; Stipaničev, Darko; Štula, Maja

doi:10.1016/j.inffus.2009.12.003

Cited by 19 publications

(12 citation statements)

References 9 publications

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“…One of the few examples, is the Croatian iForestFire system, which harnesses meteorological data from a sensor network to provide a more accurate forest fire warning system in Croatia (Stipaničev, 2007;Šerić et al 2011). In this work, Section 5.2 deals with the description of a Fire Danger model and how the accuracy of its results can be improved by our approach, since we address the availability and interoperable access of high spatio-temporal resolution sensor data, in particular meteorological data.…”

Section: Forest Fire Information Systems and Modelsmentioning

confidence: 99%

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Díaz

Bröring

McInerney

et al. 2013

Environmental Modelling & Software

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To improve environmental monitoring, the availability of great coverage of spatiotemporal data in an interoperable way is crucial for its integration into environmental models, for example, to compute fire danger models. To produce up-to-date and accurate results those models need the availability of data with high temporal and spatial resolution. Thus, it is promising to consider the increasing number of in-situ sensors providing observations of our environment in real-time. Today, interoperable access to such spatio-temporal data is achieved by Geospatial Information Infrastructures (GIIs). From a technical point of view GIIs provide this data through standards-based Web service interfaces. While those Web service interfaces already enable the interoperable discovery and retrieval of sensor observations, the functionality to publish sensor observations is still an arduous task. Hence, in this paper, we present an approach to improve the registration of sensors and the publication of their observations via standards-based Web service interfaces. We evaluate our approach by extending a standards-based GII and by applying the developed approach to the example of integrating in-situ weather observations into the European Forest Fire Information System for assessing fire danger in Spain.

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Section: Forest Fire Information Systems and Modelsmentioning

confidence: 99%

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Díaz

Bröring

McInerney

et al. 2013

Environmental Modelling & Software

View full text Add to dashboard Cite

show abstract

“…Observer network [12] is an artificial perception system where sensor network plays the role of sensors and sensor network data are processed on several levels. Observer network [12] is an artificial perception system where sensor network plays the role of sensors and sensor network data are processed on several levels.…”

Section: Intelligent Forest Fire Monitoring System Analysismentioning

confidence: 99%

“…Functional components of the system from the user's point of view are shown in Fig. Observer network component [12] is the vital component of the iForestFire system because it provides early forest fire detection. Described components are presented to the user via the web graphical user interface.…”

Section: Intelligent Forest Fire Monitoring System Analysismentioning

confidence: 99%

“…4. The component is designed as an artificial perception system [12]. iMeteo component provides a network of meteorological stations and meteorological data acquisition and storing functionality.…”

Section: Intelligent Forest Fire Monitoring System Analysismentioning

confidence: 99%

“…Vertical organization of the system includes software architecture of the observer network [12] which is divided in three layers. Particular conclusions are the result of the interaction between the neighboring layers.…”

Section: Intelligent Forest Fire Monitoring System Analysismentioning

confidence: 99%

See 2 more Smart Citations

Engineering of holonic multi agent intelligent forest fire monitoring system

2013

Self Cite

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In this paper we describe holonic multi agent architecture of iForestFire (Intelligent Forest Fire Monitoring System) through phases and activities of the holonic software engineering process. iForestFire is a web-based information system used in all aspects of forest fire management. Its central part is an artificial perception system, observer network, whose aim is early detection of forest fires. Although the agents that the system consists of are inseparably connected, they can be clustered in several independent systems that can be used separately. Independent holons are built from agents that are part of the observer network, as well as other agents with auxiliary functionalities.

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The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher

Ivanov

Stankov

2022

Intelligent Computing &Amp; Optimization

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Observer network and forest fire detection

Cited by 19 publications

References 9 publications

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Engineering of holonic multi agent intelligent forest fire monitoring system

The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher

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