A new technique for visualization of forest fire smoke plumes using MODIS data
A new technique for visualization of forest fire smoke plumes using MODIS data
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DOI：
10.1109/igarss.2012.6351016
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发表时间：
2012-07
期刊：
影响因子：
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通讯作者：
I. Nagatani;J. Kudoh;K. Kawano
中科院分区：
文献类型：
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作者：
I. Nagatani;J. Kudoh;K. Kawano
卫星监测森林火灾烟雾非常重要，是监测空气污染和人类健康所必需的。MODIS烟雾探测算法正在开发中。常见的问题是如何将烟和云分开。为了克服这一问题，我们提出了一种由烟雾反射率（SARI）、MODIS通道7反射率和水分指数（WI）组成的伪彩色合成图像的可视化技术。本研究发展了SARI和WI。这张伪彩色合成图像显示烟是红色的，云是粉白色的。烟雾像素很容易识别和采样。总体烟雾像素由他们的训练数据集检测。本文以2009年俄罗斯和蒙古森林火灾为例进行了研究。并与现有方法的检测结果进行了比较。实验结果表明，该方法能够更准确地检测出烟雾像素点。
Forest fire smoke detection by satellites is important and required for monitoring air pollution and human health. MODIS smoke detection algorithms are under development. The common problem is to separate smoke from clouds. To overcome this issue we propose a new visualization technique of a false-color composite image that composed of Smoke Reflectance Index (SARI), MODIS channel 7 reflectance, and Water Index (WI). The SARI and WI were developed in this study. The false-color composite image shows smoke in reddish and clouds in pink-white. Smoke pixels are easily identified and sampled. Overall smoke pixels are detected by their training dataset. In this paper, we present a case study of Russia and Mongolian forest fire in 2009. The result of smoke detection was compared to those of existing method. It was confirmed that the proposed method detected smoke pixels more accurately.