Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/8639
Title: Forest mapping by geoinformatics for landscape fire behaviour modelling in coastal forests, Greece
Authors: Palaiologou, Palaiologos 
Kalabokidis, Kostas 
Kyriakidis, Phaedon 
Keywords: Forest mapping
Geoinformatics
Coastal forests
Greece
Lesvos
Issue Date: Mar-2013
Publisher: Taylor & Francis, Ltd
Source: International Journal of Remote Sensing, 2013, Volume 34, Issue12, pages 4466-4490
Abstract: This study aims at quantifying and mapping fire-related characteristics of forest structure through field inventories, statistics, remote sensing, and geographical information systems in the island of Lesvos, northeast Aegean Sea, Greece. Simulation of fire behaviour requires forest biomass inputs that describe surface fuel types/models along with canopy fuel properties, such as canopy cover, stand height, crown base height, and crown bulk density, to accurately predict surface and crown fire spread and spotting potential. Forest canopy characteristics and other vegetation attributes were sampled and derived in over 100 field plots, the majority of which were located in coastal pine forest stands. Regression models involving four dependent forest stand variables (stand height, canopy cover, crown base height, and crown bulk density) were developed using generalized additive models. The values of adjusted R2 were 0.72 for stand height, 0.68 for canopy cover, 0.51 for crown base height, and 0.33 for crown bulk density. These regression models were used to create forest fuel characteristics layers, which can be used as inputs to fire management applications and state-of-the-art landscape-scale fire behaviour model
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/8639
ISSN: 0143-1161
1366-5901 (Online)
DOI: 10.1080/01431161.2013.779399
Rights: © Taylor & Francis
Appears in Collections:Άρθρα/Articles

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