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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 />

69

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