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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >EXTRACTION OF BURNED FOREST AREA IN THE GREATER HINGGAN MOUNTAIN OF CHINA BASED ON LANDSAT TM DATA
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EXTRACTION OF BURNED FOREST AREA IN THE GREATER HINGGAN MOUNTAIN OF CHINA BASED ON LANDSAT TM DATA

机译：基于Landsat TM数据的中国大辉鹰山烧毁森林区的提取

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摘要

Forest fire is a dominant disturbance regime in boreal forests. The Greater Hinggan Mountain of China is rich in forest resources, but also in a high incidence of forest fires. Aiming the most serious forest fire since the founding of China which happened on May 6th, 1987 in this area, based on two scene Landsat-5 TM images, we proposed to extract the burnt area and burned forest area in this study. During the extraction, the fire perimeter as well as the rivers, roads and building area were first extracted and masked out by visual interpretation, then four indexes of NDVI, EVI, VFC and DI were calculated and their optimal thresholds for separating burned and unburned forest area were determined according to their histograms and extraction accuracies. The extraction by EVI threshold segmentation was proved to be the optimal one based on the comparison of overall accuracy (99.78%) and kappa coefficient (0.9946). Finally the extracted burnt area and burned forest area were compared with values from official statistics. The remote sensing based extraction which are more objective and efficient, less labor-consuming and repeatable appeared to be more reliable.
机译：森林火灾是在北方森林的主导干扰机制。中国的大兴安岭有丰富的森林资源，而且在森林火灾的高发期。针对自中国的这发生在1987年5月6日在这方面，基于两个场景的Landsat-5 TM图像成立以来最严重的森林火灾，我们提出要提取，燃烧区域和在这项研究中烧毁的森林面积。提取过程中，消防周边以及河流，道路和建筑面积首次提取，并通过目视解译被屏蔽掉，然后NDVI的四项指标，EVI，VFC和DI进行了计算和它们的最佳阈值分离烧毁，未燃尽的森林区域根据它们的直方图和提取精度确定。通过EVI阈值分割的提取被证明是基于总体准确度（99.78％）和κ系数（0.9946）的比较的最优的一个。最后将提取的烧伤面积，烧毁森林面积均来自官方的统计值进行比较。遥感基于提取这是更客观和有效的，更少的劳动消耗且可重复的似乎是更可靠的。

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