Paper
14 March 2003 Integration of Earth observation and in-situ spatial data for the development of a decision support tool for technological risk management
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Abstract
In this study, the design and implementation of a GIS based tool for the support of technological risk management is presented. This Decision Support Tool is based on the detection and space-time monitoring of plumes caused by technological accidents, by integrating moderate and high-resolution satellite imagery and in-situ spatial data. The Advanced Very High Resolution (AVHRR) on board the NOAA satellites has been used for the detection of fire as well as for the detection and monitoring of plumes. The detection algorithms have been presented in previous studies for past accidents in Europe. AVHRR images, were adjusted to the broader area of Athens in order to develop a major technological accident scenario based on real plumes. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on board the EOS AM-1 satellite has been used for the extraction of topographic information, land cover and spatial distribution of vegetation, as well as for the depiction of urban areas, road network and major industrial installations. The scenario was used to present the functionality of the developed GIS tool for the support of decision making during the crisis, as well as for the assessment of the accident's impact to natural and human environment.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nektarios Chrysoulakis "Integration of Earth observation and in-situ spatial data for the development of a decision support tool for technological risk management", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.463236
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Cited by 1 scholarly publication.
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KEYWORDS
Satellites

Geographic information systems

Data modeling

Roads

Environmental monitoring

Flame detectors

Detection and tracking algorithms

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