Innovative Image Geo-referencing Tool For
Decision Support In Wildfire Fighting
Author(s)
A. Losso, L. Corgnati & G. Perona
Abstract
Forest fires prevention, monitoring and extinguishing operations in complex
orography regions present dramatic problems related to hard environmental
conditions, low population density and accessibility limitations affecting
interventions activities and damage assessment. In the scientific landscape, there
are many existing image geo-referencing tools. They are developed in order to
rectify images, which come from fixed ground station and/or satellite platforms.
Some of these use satellite images to geo-reference complex orography regions
and ground images to geo-referencing plane orography regions by using Ground
Control Point collections. The present work describes an innovative projective
geo-referencing algorithm able to geo-reference complex orography regions
using a fixed ground station images. Besides, it does not need the collection of
Ground Control Points, which is a very hard task in complex orography
environments. The system is an innovative image geo-referencing tool conceived
for decision support aid for wildfire fighting in alpine regions. The system is
operating within a monitoring system in the Piedmont area (Northwestern Italy)
and operates on images sensed by a fixed monitoring network. The georeferencing
software operates with a geometric and projective algorithm based
on a Digital Elevation Model (DEM). The algorithm is built up of three main
modules: sensors lens aberration correction, field-of-view localization on DEM,
image geo-referencing. As said before, the system does not need any collection
of Ground Control Points to rectify images. At the output of the system, each
image pixel is linked to its geographical (Lat/Lon and UTM) coordinates. The
final products are: a collection of scenario images sensed in the visible band;
geo-referenced images with highlighted alarm pixels with overlaying DEM
levels; topographic layers containing information to be used in case of
intervention. Final images contain geo-referenced information about the sensors’
field of view on the analysed area, hot-spot positions, helicopter landing spot
Keywords
forest fires, fire monitoring, rectification, geo-referencing, image processing, alpine regions
Related Book
Other papers in this volume
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