Uzaktan Algılama Teknikleri ile Orman Yangınının Neden Olduğu Hasarın Tayin Edilmesi

Gamze Öncü, Özşen Çorumluoğlu
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Abstract

Forest fires are the leading natural disasters that endanger the living and lifeless environment in forest ecosystem. Every year, millions of forested areas burn out and Turkey is one of the countries most affected by the forest fires. In this study, forest fire started near Karabaglar was investigated. Using Landsat 8 satellite images, fire area was detected by using five different remote sensing indexing methods (dNDVI, dNBR, dNBRT, dBAI, RBR) were used and the fire area is mapped. Fire intensity was calculated and related map is then obtained. Thus, burn severity distribution in the region was estimated and shown as the burn severity map. As a result of the analysis, it is found that the most convenient results come from the RBR analyses with a 99% of consistency when they are compared with the burn severity data obtained in the field by the General Directorate of Forestry. The remote sensing technique has also demonstrated its ability to distinguish damage severity levels, even including undamaged sections in an entire forest fire damage zone, in a way that cannot be completely done in a field work.
森林火灾是危害森林生态系统生命和无生命环境的主要自然灾害。每年,数百万森林地区被烧毁,土耳其是受森林火灾影响最严重的国家之一。在本研究中,调查了卡拉巴格拉附近发生的森林火灾。利用Landsat 8卫星影像,采用dNDVI、dNBR、dNBRT、dBAI、RBR 5种不同的遥感标引方法进行火区探测,绘制火区地图。计算火灾强度,得到火灾强度图。从而估计出该区域烧伤严重程度分布,并显示为烧伤严重程度图。分析的结果发现,当与林业总局在实地获得的烧伤严重程度数据进行比较时,最方便的结果来自RBR分析,一致性为99%。遥感技术还显示出其区分损害严重程度的能力,甚至包括整个森林火灾损害区的未受损部分,这在实地工作中是无法完全做到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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