Saglam Bülent, Bilgili Ertugrul, Dincdurmaz Bahar, Kadiogulari Ali Ihsan, Kücük Ömer
Artvin Çoruh University, Faculty of Forestry, 08000 Artvin- Turkey.
Karadeniz Technical University, Faculty of Forestry 61080, Trabzon-Turkey.
Sensors (Basel). 2008 Jun 20;8(6):3970-3987. doi: 10.3390/s8063970.
Computing fire danger and fire risk on a spatio-temporal scale is of crucial importance in fire management planning, and in the simulation of fire growth and development across a landscape. However, due to the complex nature of forests, fire risk and danger potential maps are considered one of the most difficult thematic layers to build up. Remote sensing and digital terrain data have been introduced for efficient discrete classification of fire risk and fire danger potential. In this study, two time-series data of Landsat imagery were used for determining spatio-temporal change of fire risk and danger potential in Korudag forest planning unit in northwestern Turkey. The method comprised the following two steps: (1) creation of indices of the factors influencing fire risk and danger; (2) evaluation of spatio-temporal changes in fire risk and danger of given areas using remote sensing as a quick and inexpensive means and determining the pace of forest cover change. Fire risk and danger potential indices were based on species composition, stand crown closure, stand development stage, insolation, slope and, proximity of agricultural lands to forest and distance from settlement areas. Using the indices generated, fire risk and danger maps were produced for the years 1987 and 2000. Spatio-temporal analyses were then realized based on the maps produced. Results obtained from the study showed that the use of Landsat imagery provided a valuable characterization and mapping of vegetation structure and type with overall classification accuracy higher than 83%.
在时空尺度上计算火灾危险和火灾风险对于火灾管理规划以及景观火灾蔓延和发展的模拟至关重要。然而,由于森林的复杂性,火灾风险和危险潜力地图被认为是最难构建的专题图层之一。遥感和数字地形数据已被引入用于火灾风险和危险潜力的高效离散分类。在本研究中,利用陆地卫星影像的两个时间序列数据来确定土耳其西北部科鲁达格森林规划单元火灾风险和危险潜力的时空变化。该方法包括以下两个步骤:(1)创建影响火灾风险和危险的因素指标;(2)利用遥感作为一种快速且经济的手段评估给定区域火灾风险和危险的时空变化,并确定森林覆盖变化的速度。火灾风险和危险潜力指标基于物种组成、林分郁闭度、林分发育阶段、日照、坡度以及农田与森林的距离和距居民区的距离。利用生成的指标,制作了1987年和2000年的火灾风险和危险地图。然后基于所制作的地图进行时空分析。研究结果表明,陆地卫星影像的使用提供了植被结构和类型的有价值表征和制图,总体分类精度高于83%。