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Visualization of Volcanic Ash Distribution based on Multispectral Satellite Imagery: A Comparing Method

机译:基于多光谱卫星图像的火山灰分布可视化:一种比较方法

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Volcanic ash produced by eruptions has been significantly dangerous towards aviation. The necessity of volcanic ash early warning system distribution is crucial to reduce casualties on aircraft accident. In this paper, some techniques of volcanic ash detection were compared to find the proper algorithm to visualize the volcanic ash distribution. The multispectral image was acquired from the geostationary satellite (Himawari -8 satellite) in specific time observation. The reference data were collected from the MODIS sensor in the Aqua satellite to monitor the volcanic ash distribution at the same time and place. The first method is to generate the value of brightness temperature differences (BTD) at 11 μ m and 12 μ m wavelengths. The second method is conducted by inserting 3.9 μ m information from the product of three-band volcanic ash known as (TVAP). The third method is a combination of the first and second method while the last method utilizes RGB composite color combination from several bands of Himawari -8. The reference data collected by MODIS Observation at 06.00 UTC. The BTD technique unable to detect low-intensity volcanic ash, while combining it with the TVAP method can increase the standard method performance. Based on expert judgment, BTD technique has a good performance for thick volcanic ash although unable to detect thin volcanic ash distribution. Three-band Volcanic Ash Product (TVAP) method could detect thick and thin volcanic ash. The combination of BTD and TVAP method has an excellent result to observe volcanic ash distribution, but the result tends to overestimate like TVAP distribution. RGB Methods from JMA Configuration have the same pattern and distribution of volcanic ash as MODIS observation. Based on the study results, BTD, TVAP, and RGB composite methods can produce good results compared to MODIS imagery for monitoring the volcanic ash distribution.
机译:火山喷发产生的火山灰对航空业具有极大的危险。分发火山灰预警系统的必要性对于减少飞机事故的人员伤亡至关重要。在本文中,比较了一些火山灰检测技术,以找到合适的算法来可视化火山灰的分布。多光谱图像是在特定时间观测中从对地静止卫星(Himawari -8卫星)获取的。参考数据是从Aqua卫星中的MODIS传感器收集的,以同时监控火山灰的分布。第一种方法是生成11μm和12μm波长的亮度温度差(BTD)的值。第二种方法是通过从称为“ TVAP”的三波段火山灰产物中插入3.9μm信息来进行的。第三种方法是第一种和第二种方法的组合,而最后一种方法则使用了来自Himawari -8多个波段的RGB复合颜色组合。 MODIS观察在06.00 UTC收集的参考数据。 BTD技术无法检测低强度火山灰,将其与TVAP方法结合使用可以提高标准方法的性能。根据专家判断,BTD技术对于厚火山灰具有良好的性能,尽管无法检测到薄火山灰的分布。三波段火山灰产品(TVAP)方法可以检测出厚薄的火山灰。 BTD和TVAP方法的结合可以很好地观察火山灰的分布,但结果往往像TVAP分布那样被高估了。 JMA Configuration的RGB方法具有与MODIS观测相同的火山灰图案和分布。根据研究结果,与用于监视火山灰分布的MODIS图像相比,BTD,TVAP和RGB复合方法可以产生良好的结果。

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