@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}

}

@article{DiazSanchez2012c,

title = {Web 2.0 Broker: A standards-based service for spatio-temporal search of crowd-sourced information},

author = { Laura Díaz-Sánchez and Carlos Granell-Canut and Joaquín Huerta-Guijarro and Michael Gould},

url = {http://hdl.handle.net/10234/64272},

doi = {10.1016/j.apgeog.2012.09.008},

issn = {0143-6228},

year  = {2012},

date = {2012-11-01},

journal = {Applied Geography},

volume = {35},

number = {1-2},

pages = {448-459},

abstract = {Recent trends in information technology show that citizens are increasingly willing to share information using tools provided by Web 2.0 and crowdsourcing platforms to describe events that may have social impact. This is fuelled by the proliferation of location-aware devices such as smartphones and tablets; users are able to share information in these crowdsourcing platforms directly from the field at real time, augmenting this information with its location. Afterwards, to retrieve this information, users must deal with the different search mechanisms provided by the each Web 2.0 services. This paper explores how to improve on the interoperability of Web 2.0 services by providing a single service as a unique entry to search over several Web 2.0 services in a single step. This paper demonstrates the usefulness of the Open Geospatial Consortium's OpenSearch Geospatial and Time specification as an interface for a service that searches and retrieves information available in crowdsourcing services. We present how this information is valuable in complementing other authoritative information by providing an alternative, contemporary source. We demonstrate the intrinsic interoperability of the system showing the integration of crowd-sourced data in different scenarios.},

keywords = {crowdsourcing, EUROGEOSS, GEOCLOUD, Open Search, Standards, Web 2.0, web services},

pubstate = {published},

tppubtype = {article}

}

@article{TamayoFong2012a,

title = {Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis},

author = { Alain Tamayo-Fong and Carlos Granell-Canut and Joaquín Huerta-Guijarro},

url = {http://hdl.handle.net/10234/62253},

doi = {10.3390/s120912026},

issn = {1424-8220},

year  = {2012},

date = {2012-08-01},

journal = {Sensors},

volume = {12},

pages = {12026--12051},

abstract = {Although smartphone applications represent the most typical data consumer tool from the citizen perspective in environmental applications, they can also be used for in-situ data collection and production in varied scenarios, such as geological sciences and biodiversity. The use of standard protocols, such as SWE, to exchange information between smartphones and sensor infrastructures brings benefits such as interoperability and scalability, but their reliance on XML is a potential problem when large volumes of data are transferred, due to limited bandwidth and processing capabilities on mobile phones. In this article we present a performance analysis about the use of SWE standards in smartphone applications to consume and produce environmental sensor data, analysing to what extent the performance problems related to XML can be alleviated by using alternative uncompressed and compressed formats.},

note = {IF: 1.939, Q1},

keywords = {environmental monitoring, GEOCLOUD, OSMOSIS, Sensors, Standards},

pubstate = {published},

tppubtype = {article}

}