Wildfire monitoring using satellite images, ontologies and linked geospatial data

Abstract

a b s t r a c tAdvances in remote sensing technologies have allowed us to send an ever-increasing number of satellites in orbit around Earth. As a result, Earth Observation data archives have been constantly increasing in size in the last few years, and have become a valuable source of data for many scientific and application domains. When Earth Observation data is coupled with other data sources many pioneering applications can be developed. In this paper we show how Earth Observation data, ontologies, and linked geospatial data can be combined for the development of a wildfire monitoring service that goes beyond applications currently deployed in various Earth Observation data centers. The service has been developed in the context of European project TELEIOS that faces the challenges of extracting knowledge from Earth Observation data head-on, capturing this knowledge by semantic annotation encoded using Earth Observation ontologies, and combining these annotations with linked geospatial data to allow the development of interesting applications.

Managing Big, Linked, and Open Earth-Observation Data: Using the TELEIOS\/LEO software stack

“…Finally, we discuss the feedback we got from real users of the service. Further evaluation results are described in detail in [20].…”

Developing Ontology Systems as a Base of an Environmental Quality Management Model in México

“…The information obtained from data sources in Mexico and government agencies are working to ensure that access to the data is in real time through the available Web services. Within perspectives is implementing a Web Service based GeoData semantic mapping, which allows to the user modeled in accordance with the needs of the problem to be solved, such as prediction models fire, requiring the creation and integration of geospatial data more related climate, human activities and flammability of specific regions [28]- [30].…”

GeoTriples: Transforming geospatial data into RDF graphs using R2RML and RML mappings

“…For example, Great Britain's national mapping agency, Ordnance Survey, has been the first national mapping agency that has made various kinds of geospatial data from Great Britain available as linked open data. 1 Similarly, projects TELEIOS, 2 LEO, 3 MELODIES 4 and Copernicus App Lab, 5 in which our research groups participated, published a number of geospatial datasets that are Earth observation products e.g., CORINE Land Cover and Urban Atlas. 6 Also, the Spatial Data addressed by few works so far [3][4][5][6][7].…”

“…1 Similarly, projects TELEIOS, 2 LEO, 3 MELODIES 4 and Copernicus App Lab, 5 in which our research groups participated, published a number of geospatial datasets that are Earth observation products e.g., CORINE Land Cover and Urban Atlas. 6 Also, the Spatial Data addressed by few works so far [3][4][5][6][7]. In many cases, for example in the wildfire monitoring and management application that we developed in TELEIOS [5], custom Python scripts were used for transforming all the necessary geospatial data into linked data.…”

“…6 Also, the Spatial Data addressed by few works so far [3][4][5][6][7]. In many cases, for example in the wildfire monitoring and management application that we developed in TELEIOS [5], custom Python scripts were used for transforming all the necessary geospatial data into linked data.…”