Aerial monitoring and measurement of forest fires

Luis Merino; Francisco Gomez-Rodriguez; Begona C. Arrue; Anibal Ollero

doi:10.1117/12.474435

16 July 2002 Aerial monitoring and measurement of forest fires

Luis Merino, Francisco Gomez-Rodriguez, Begona C. Arrue, Anibal Ollero

Proceedings Volume 4713, Enhanced and Synthetic Vision 2002; (2002) https://doi.org/10.1117/12.474435
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

This paper presents a system for forest fire monitoring using aerial images. The system uses the images taken from a helicopter, the GPS position of the helicopter, and information from a Geographic Information System (GIS) to locate the fire and to estimate in real-time their properties. Currently, the images are taken by a non-stabilized camera. Then, image processing for image stabilization and movement estimation is applied to cancel the vibration and to estimate the change in the camera orientation. Another image processing stage is the computation of the fire front and flame height features in the images. This process is based on color processing and thresholding, followed by contour computation. Finally, the fire front is automatically geo-located by projecting the features over the terrain model obtained from the GIS. Furthermore, an estimation of the flame height is obtained. The aerial image processing, automatic georeferencing and measurement has been integrated in a forest fire fire monitoring system in which several moving or fixed visual and infrared cameras can be used. The system provides in real-time the evolution of the fire-front and the flame height, and obtains a 3D perception model of the fire. The paper shows some results obtained with the application with images taken in real forest-fire experiments, in the framework of the INFLAME project funded by the European Commission.

Citation Download Citation

Luis Merino, Francisco Gomez-Rodriguez, Begona C. Arrue, and Anibal Ollero "Aerial monitoring and measurement of forest fires", Proc. SPIE 4713, Enhanced and Synthetic Vision 2002, (16 July 2002); https://doi.org/10.1117/12.474435

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