2014
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Huerta-Guijarro, Joaquín
Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring Proceedings Article
In: Omatu, S.; Bersini, H.; Corchado, JM; Rodriguez, S.; Pawlewski, P.; Bucciarelli, E. (Ed.): DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014, pp. 287-294, SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2014, ISSN: 2194-5357.
Abstract | Links | BibTeX | Tags: Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors
@inproceedings{ISI:000342905800034,
title = {Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring},
author = {Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Joaquín Huerta-Guijarro},
editor = {S. Omatu and H. Bersini and JM Corchado and S. Rodriguez and P. Pawlewski and E. Bucciarelli},
url = {http://hdl.handle.net/10234/160364},
doi = {10.1007/978-3-319-07593-8_34},
issn = {2194-5357},
year = {2014},
date = {2014-01-01},
booktitle = {DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014},
volume = {290},
pages = {287-294},
publisher = {SPRINGER-VERLAG BERLIN},
address = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},
series = {Advances in Intelligent Systems and Computing},
abstract = {These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.},
keywords = {Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.
2013
Trilles-Oliver, Sergio; Juan-Verdoy, Pablo; Diaz-Sánchez, Laura; Aragó-Galindo, Pau; Huerta-Guijarro, Joaquín
Integration of Environmental Models in Spatial Data Infrastructures: A Use Case in Wildfire Risk Prediction Journal Article
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 1, pp. 128–138, 2013, ISSN: 1939-1404, (IF: 2.827, Q1).
Abstract | Links | BibTeX | Tags: Environmental models, EUROGEOSS, forest fire, GEOCLOUD, RIESGOS-MEDIOAMBIENTALES, Spatial Data Infrastructures (SDI)
@article{TrillesOliver2013,
title = {Integration of Environmental Models in Spatial Data Infrastructures: A Use Case in Wildfire Risk Prediction},
author = { Sergio Trilles-Oliver and Pablo Juan-Verdoy and Laura Diaz-Sánchez and Pau Aragó-Galindo and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/88029},
doi = {10.1109/JSTARS.2012.2236538},
issn = {1939-1404},
year = {2013},
date = {2013-01-01},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {6},
number = {1},
pages = {128--138},
abstract = {Achieving sustainable growth in our society implies monitoring our environment in order to measure human impact and detect relevant changes and detrimental driving factors such as wildfires and desertification. In order for experts to perform environmental modelling they need to be able to access data and models in an efficient and interoperable manner as well as share their findings to assist other professionals in decision making. In the current information society, distributed information systems are essential for sharing digital resources such as data and tools. Advances in Service-Oriented Architectures (SOA) allow for the distribution and accessibility of on-line resources such as data and tools, which served through standards-based services improve the sharing of data, models and models results. This research presents a service-oriented application that addresses the issues of interoperable access to environmental modelling capabilities as well as the mechanisms to share their results an efficiently throughout interoperable components. The aim is twofold, first we present different models for multi-scale forest fire risk prediction based on spatial point processes, and second we provide this functionality as a distributed application, that, based on international standards, such as those offered by the Open Geospatial Consortium (OGC), improves interoperable access to these models as well as the publication of the results to be shared with other interested stakeholders.},
note = {IF: 2.827, Q1},
keywords = {Environmental models, EUROGEOSS, forest fire, GEOCLOUD, RIESGOS-MEDIOAMBIENTALES, Spatial Data Infrastructures (SDI)},
pubstate = {published},
tppubtype = {article}
}
Achieving sustainable growth in our society implies monitoring our environment in order to measure human impact and detect relevant changes and detrimental driving factors such as wildfires and desertification. In order for experts to perform environmental modelling they need to be able to access data and models in an efficient and interoperable manner as well as share their findings to assist other professionals in decision making. In the current information society, distributed information systems are essential for sharing digital resources such as data and tools. Advances in Service-Oriented Architectures (SOA) allow for the distribution and accessibility of on-line resources such as data and tools, which served through standards-based services improve the sharing of data, models and models results. This research presents a service-oriented application that addresses the issues of interoperable access to environmental modelling capabilities as well as the mechanisms to share their results an efficiently throughout interoperable components. The aim is twofold, first we present different models for multi-scale forest fire risk prediction based on spatial point processes, and second we provide this functionality as a distributed application, that, based on international standards, such as those offered by the Open Geospatial Consortium (OGC), improves interoperable access to these models as well as the publication of the results to be shared with other interested stakeholders.
Díaz-Sánchez, Laura; Bröring, Arne; McInerney, Daniel; Libertá, Giorgio; Foerster, Theodor
Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment Journal Article
In: Environmental Modelling and Software, vol. 48, pp. 65-80, 2013, ISSN: 13648152, (IF: 4.538, q1).
Abstract | Links | BibTeX | Tags: Environmental models, EUROGEOSS, forest fire, Geospatial Information Infrastructures, OGC, Sensors, Spatial data infrastructures (SDI)
@article{DiazSanchez2013,
title = {Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment},
author = { Laura Díaz-Sánchez and Arne Bröring and Daniel McInerney and Giorgio Libertá and Theodor Foerster},
url = {http://hdl.handle.net/10234/159894},
doi = {10.1016/j.envsoft.2013.06.002},
issn = {13648152},
year = {2013},
date = {2013-01-01},
journal = {Environmental Modelling and Software},
volume = {48},
pages = {65-80},
publisher = {Elsevier Ltd},
abstract = {To improve environmental monitoring, the availability of large coverage, interoperable spatio-temporal data is crucial for its integration into environmental models, for example, to compute fire danger models. In order to produce up-to-date and accurate results, these models require 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 these 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 as a proof of concept to integrate in-situ weather observations into the European Forest Fire Information System for assessing fire danger in Spain.},
note = {IF: 4.538, q1},
keywords = {Environmental models, EUROGEOSS, forest fire, Geospatial Information Infrastructures, OGC, Sensors, Spatial data infrastructures (SDI)},
pubstate = {published},
tppubtype = {article}
}
To improve environmental monitoring, the availability of large coverage, interoperable spatio-temporal data is crucial for its integration into environmental models, for example, to compute fire danger models. In order to produce up-to-date and accurate results, these models require 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 these 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 as a proof of concept to integrate in-situ weather observations into the European Forest Fire Information System for assessing fire danger in Spain.
2012
McInerney, Daniel; Bastin, Lucy; Díaz-Sánchez, Laura; Figueiredo, Carlos; Barredo, José I.; San-Miguel-Ayanz, Jesús
Developing a Forest Data Portal to Support Multi-Scale Decision Making Journal Article
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 6, pp. 1692-1699, 2012, ISSN: 1939-1404, (IF: 2.874, Q1).
Abstract | Links | BibTeX | Tags: earth observation, EUROGEOSS, forest fire
@article{McInerney2012,
title = {Developing a Forest Data Portal to Support Multi-Scale Decision Making},
author = { Daniel McInerney and Lucy Bastin and Laura Díaz-Sánchez and Carlos Figueiredo and José I. Barredo and Jesús San-Miguel-Ayanz},
url = {http://hdl.handle.net/10234/73426},
doi = {10.1109/JSTARS.2012.2194136},
issn = {1939-1404},
year = {2012},
date = {2012-12-01},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {5},
number = {6},
pages = {1692-1699},
abstract = {Forests play a pivotal role in timber production, maintenance and development of biodiversity and in carbon sequestration and storage in the context of theKyoto Protocol. Policy makers and forest experts therefore require reliable information on forest extent, type and change for management, planning and modeling purposes. It is becoming increasingly clear that such forest information is frequently inconsistent and unharmonised between countries and continents. This paper presents a forest information portal that has been developed in line with the GEOSS and INSPIRE frameworks. The web portal provides access to forest resource data at a variety of spatial scales, from global through to regional and local, as well as providing analytical capabilities for monitoring and validating forest change. The system also allows for the utilisation of forest data and processing services within other thematic areas. The web portal has been developed using open standards to facilitate accessibility, interoperability and data transfer.},
note = {IF: 2.874, Q1},
keywords = {earth observation, EUROGEOSS, forest fire},
pubstate = {published},
tppubtype = {article}
}
Forests play a pivotal role in timber production, maintenance and development of biodiversity and in carbon sequestration and storage in the context of theKyoto Protocol. Policy makers and forest experts therefore require reliable information on forest extent, type and change for management, planning and modeling purposes. It is becoming increasingly clear that such forest information is frequently inconsistent and unharmonised between countries and continents. This paper presents a forest information portal that has been developed in line with the GEOSS and INSPIRE frameworks. The web portal provides access to forest resource data at a variety of spatial scales, from global through to regional and local, as well as providing analytical capabilities for monitoring and validating forest change. The system also allows for the utilisation of forest data and processing services within other thematic areas. The web portal has been developed using open standards to facilitate accessibility, interoperability and data transfer.
Trilles-Oliver, Sergio; Juan-Verdoy, Pablo; Díaz-Sánchez, Laura
Integración de modelos medioambientales en infraestructuras de datos espaciales: un caso de uso en predicción de incendios Journal Article
In: Revista catalana de geografía, vol. XVII, no. 44, 2012, ISSN: 1988-2459.
Links | BibTeX | Tags: Environmental models, forest fire, geoprocessing, Spatial Data Infrastructures (SDI)
@article{TrillesOliver2012b,
title = {Integración de modelos medioambientales en infraestructuras de datos espaciales: un caso de uso en predicción de incendios},
author = {Sergio Trilles-Oliver and Pablo Juan-Verdoy and Laura Díaz-Sánchez},
url = {http://repositori.uji.es/xmlui/bitstream/handle/10234/159887/Trilles_Juan_Diaz_Huerta_RCG_44_2012.pdf?sequence=1},
issn = {1988-2459},
year = {2012},
date = {2012-01-01},
journal = {Revista catalana de geografía},
volume = {XVII},
number = {44},
keywords = {Environmental models, forest fire, geoprocessing, Spatial Data Infrastructures (SDI)},
pubstate = {published},
tppubtype = {article}
}
Mcinerney, Daniel; Revez, Gonçalo; Bastin, Lucy; Barredo, José I.; Díaz-Sánchez, Laura; Bastin, Lucy; Figueiredo, Carlos; San-Miguel, Jesús
Web-based Forest Monitoring Tools Using OGC Services Proceedings Article
In: Eurogeoss Conference. Madrid, 25-27 January 2012, 2012.
Abstract | BibTeX | Tags: environmental monitoring, EUROGEOSS, forest fire, OGC
@inproceedings{Mcinerney2012b,
title = {Web-based Forest Monitoring Tools Using OGC Services},
author = { Daniel Mcinerney and Gonçalo Revez and Lucy Bastin and José I. Barredo and Laura Díaz-Sánchez and Lucy Bastin and Carlos Figueiredo and Jesús San-Miguel},
year = {2012},
date = {2012-01-01},
booktitle = {Eurogeoss Conference. Madrid, 25-27 January 2012},
abstract = {There is an increasing demand for consistent and harmonised forest and environmental information at a range of spatial scales from local through to regional and global. These data are necessary for forest management and planning, but they are also inherently linked to multi-disciplinary research relating to natural hazards, climate change, land management and biodiversity. With these issues in mind, the EuroGEOSS project aims to demonstrate the added value of making existing systems and applications interoperable and used within the GEOSS and INSPIRE frameworks. This presentation focuses on the development of the Web-based forest operating capacities and their interactions with the developments of the advance operating capacities such as the EuroGEOSS Discovery Broker and other thematic areas that include biodiversity and droughts. It specifically highlights the development of an interoperable web application that integrates interoperable components such as a map client and metadata catalogue that supports bidirectional data exchange between both systems. In addition, it presents advanced forest modeling and monitoring capabilities that are developed as Web Processing Services (WPS) based on forestry, biodiversity and climatic data published using OGC Web Services (OWS) that include Web Feature Services (WFS) and Web Coverage Services (WCS). Furthermore, we present the integration of the GEOSS Service Factory WPS into the forestry workflows for content publication capabilities as well as the potential use of geo-referenced Web2.0 resources.},
keywords = {environmental monitoring, EUROGEOSS, forest fire, OGC},
pubstate = {published},
tppubtype = {inproceedings}
}
There is an increasing demand for consistent and harmonised forest and environmental information at a range of spatial scales from local through to regional and global. These data are necessary for forest management and planning, but they are also inherently linked to multi-disciplinary research relating to natural hazards, climate change, land management and biodiversity. With these issues in mind, the EuroGEOSS project aims to demonstrate the added value of making existing systems and applications interoperable and used within the GEOSS and INSPIRE frameworks. This presentation focuses on the development of the Web-based forest operating capacities and their interactions with the developments of the advance operating capacities such as the EuroGEOSS Discovery Broker and other thematic areas that include biodiversity and droughts. It specifically highlights the development of an interoperable web application that integrates interoperable components such as a map client and metadata catalogue that supports bidirectional data exchange between both systems. In addition, it presents advanced forest modeling and monitoring capabilities that are developed as Web Processing Services (WPS) based on forestry, biodiversity and climatic data published using OGC Web Services (OWS) that include Web Feature Services (WFS) and Web Coverage Services (WCS). Furthermore, we present the integration of the GEOSS Service Factory WPS into the forestry workflows for content publication capabilities as well as the potential use of geo-referenced Web2.0 resources.