首页> 外文会议>International symposium on remote sensing;ISRS >Vulnerability Assessment in the Unrest Volcano Based on Time-Series Land Surface Deformation and GIS Appproach (Case Study at Mt. Bromo Indonesia);
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Vulnerability Assessment in the Unrest Volcano Based on Time-Series Land Surface Deformation and GIS Appproach (Case Study at Mt. Bromo Indonesia);

机译:基于时间序列陆面变形和GIS方法的动荡火山脆弱性评估(印度尼西亚布罗莫火山的案例研究);

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Among the 127 active volcanoes located in eastern Java, Indonesia. Mt. Bromo is the most famous active volcano, type of Mt. Bromo is a strombolian. Many aspects that make volcano an interesting, we conduct a critical and comprehensive study and analysis concerning of volcano eruption based on remote sensing and GIS approaches. Nowadays, remote sensing play an important role to observe volcanic activity and facilitate real-time information. The method used in this study is the determination level of risk in the Mt. Bromo by Pairwise Comparison method. Vulnerability parameters to be obtained from the potential of land deformation, population density, and distance from the volcano dome. In addition, we used SAR data to observe time-series land surface deformation which derived from PALSAR sensor and the images which L-band frequency characteristic on board from Advanced Land Observing Satellite (ALOS) with active microwave sensor to achieve cloud-free and day-and-night land observation. The dataset is composed of 24 SAR images, collected from 24 May 2007 to 5 July 2016 (Descending passes, HH polarization). Consequently, the information result has been created and processed at a municipal or city level including thematic maps, the database has been built, classified and analyzed by using GIS environment. The main idea is providing hazard mitigation map at Mt. Bromo to provide adequate guidance for disaster-prone areas to determine the level of disaster risk.
机译:在印度尼西亚爪哇东部的127座活火山中。公吨。婆罗摩是最著名的活火山,山类型。溴是血统性的。许多使火山变得有趣的方面,我们基于遥感和GIS方法对火山喷发进行了重要而全面的研究和分析。如今,遥感在观察火山活动和促进实时信息方面发挥着重要作用。在这项研究中使用的方法是确定山中的风险水平。溴按成对比较法。从土地变形,人口密度和距火山穹顶的距离中获得的脆弱性参数。此外,我们使用SAR数据观测了来自PALSAR传感器的时间序列地表形变以及具有主动微波传感器的先进陆地观测卫星(ALOS)的船上L波段频率特性图像,从而实现了无云和白天夜陆观察。该数据集由2007年5月24日至2016年7月5日收集的24幅SAR图像组成(下降波,HH极化)。因此,已经在市政或城市级别创建了包括主题地图在内的信息结果并进行了处理,并使用GIS环境对数据库进行了建立,分类和分析。主要思想是在山顶提供减灾图。 Bromo为易受灾地区提供足够的指导,以确定灾害风险的级别。

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