7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
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FUEL TYPE MAPPING USING SPOT-5 IMAGERY AND OBJECT BASED<br />
IMAGE ANALYSIS<br />
Abstract: Judicial wildland fire preventi<strong>on</strong> and management requires precise<br />
informati<strong>on</strong> <strong>on</strong> fuel characteristics and spatial distributi<strong>on</strong> of the various<br />
vegetati<strong>on</strong> types present in an area. Remote sensing, al<strong>on</strong>g with<br />
Geographic Informati<strong>on</strong> Systems (G.I.S.), are important comp<strong>on</strong>ents of fuel<br />
mapping efforts and fire hazard mitigati<strong>on</strong>. The aim of this work was to<br />
investigate the potential use of SPOT-5 imagery in fuel type mapping by<br />
employing object based image analysis. The specific objects were: i) to<br />
develop an object based classificati<strong>on</strong> model for fuel type mapping in<br />
Chalkidiki (Northern Greece), and ii) to evaluate the transferability of the<br />
developed model in Attica (Central Greece). A modified versi<strong>on</strong> of the<br />
Prometheus fuel classificati<strong>on</strong> scheme was developed, c<strong>on</strong>sidering informati<strong>on</strong><br />
c<strong>on</strong>tent of the SPOT imagery. Originally, an object based model including<br />
multi-scale image segmentati<strong>on</strong> and classificati<strong>on</strong>, was developed and<br />
applied in Chalkidiki. Following, the model rule set was transferred and<br />
applied, after minor adjustments, in Attica. Extensive field work was carried<br />
out in both test sites for model development, training and evaluati<strong>on</strong>.<br />
The overall accuracy of the fuel type map produced for the Chalkidiki study<br />
area was more than 85% while the results obtained for the Attica area were<br />
also satisfactory (overall accuracy 80%). C<strong>on</strong>sidering the reliability and<br />
robustness of the developed approach as well as the characteristics of SPOT-<br />
5 imagery, the proposed methodology has the potential to be used operati<strong>on</strong>ally<br />
for generating large scale fuel type maps over extended areas.<br />
1 - Introducti<strong>on</strong><br />
I. Stergiopoulos, A. Polychr<strong>on</strong>aki, I.Z. Gitas, G. Galidaki,<br />
K. Dimitrakopoulos, G. Mallinis<br />
Laboratory of <strong>Forest</strong> <strong>Management</strong> and Remote Sensing,<br />
School of <strong>Forest</strong>ry and Natural Envir<strong>on</strong>ment,<br />
Aristotle University of Thessal<strong>on</strong>iki, Greece<br />
thor@for.auth.gr<br />
<strong>Forest</strong> fires are an integral part of the Mediterranean ecosystems and c<strong>on</strong>stitute<br />
a real threat to natural envir<strong>on</strong>ment, given the spectacular increase<br />
in number of fires events observed in recent decades (Pausas and Vallejo,<br />
1999)<br />
In order to improve forest fire preventi<strong>on</strong> and suppressi<strong>on</strong>, fire managers<br />
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