WIT Press


Near-real-time Forest Fires Monitoring System: Case Study With A Manned Aerial Vehicle Within The OSIRIS Project

Price

Free (open access)

Paper DOI

10.2495/FIVA080151

Volume

119

Pages

8

Page Range

145 - 152

Published

2008

Size

739 kb

Author(s)

I. Reusen, N. Lewyckyj, S. Adriaensen, J. Biesemans, J. Everaerts & S. Kempenaers

Abstract

Within the framework of the European-funded OSIRIS Integrated Project (FP6- IST-2005-2.5.12 ICT for Environmental Risk Management) a high spatial resolution video sensor (with thermal capabilities) on a manned helicopter platform will be plugged-in the OSIRIS architecture to monitor forest fires in the South of France. The OSIRIS project \“Open architecture for Smart and Interoperable networks in Risk Management based on In-situ Sensors” aims at enhancing the overall efficiency of the in-situ processing chain by connecting the in-situ sensors via an intelligent and versatile network infrastructure that will enable end-users to access multi-domain sensors information. During the forest fires live demonstration the video frames acquired from a helicopter platform will be down-linked in real-time to the mobile Ground Control Station (GCS) for visual inspection by the end-users and for limited processing at the µ-PAF (µ- Processing and Archiving Facility). By means of a satellite link the compressed data is transferred to the Central Data Processing Center (CDPC) located at the premises of VITO in Mol (Belgium) for processing to e.g. composite images. The near-real-time, geo-referenced composite images can be used by the enduser as map of the surveyed area. The CDPC is connected to the OSIRIS architecture. Processing of data or access to archived data in the CDPC can be requested via the OSIRIS architecture. During the forest fire live demonstration planned in spring 2009 the merit of the OSIRIS concept will be evaluated against cheaper and more efficient decision-making. Keywords: risk and disaster management, forest fires, remote sensing, nearreal- time, high spatial resolution, geo-referenced, video, infrared, UAV, PEGASUS, sensor web, open architecture.

Keywords

risk and disaster management, forest fires, remote sensing, nearreal- time, high spatial resolution, geo-referenced, video, infrared, UAV, PEGASUS, sensor web, open architecture.