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Feasibility of Remote Sensing for Multihazard Analysis of Landslides in Padang Pariaman during the 2009 Padang Earthquake

机译:2009年巴东地震中遥感对巴东帕里亚曼滑坡进行多灾种分析的可行性

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Obtaining accurate spatial details of the parameters involved in landslides has been a major challenge in determining the risk of landslide following an extreme event of rainfall, earthquake, or a combination of both. In recent decades, advances in remote sensing with high resolution satellite imagery and digital elevation models have permitted very detailed mapping and analysis of landslide hazards; however, there has been little work verifying the reliability and precision of these techniques as compared to traditional field surveys. This paper seeks to improve this situation by assessing the feasibility of using remote sensing to determine landslide vulnerability. This has been carried out in two parts. Firstly, global positioning system (GPS) coordinates collected in the field after the September 30, 2009, Padang earthquake in Sumatra, Indonesia were compared to advanced spaceborne thermal emission and reflection radiometer (ASTER) and Google Earth digital elevation model (DEMs) and Satellite Pour L' Observation de la Terre (SPOT-5) satellite imagery. They showed reasonable spatial and elevation differences, which demonstrates the suitability of remote sensing for landslide hazard assessments. Secondly, results from a geographic information system (GIS) analysis carried out with these data showed that remote sensing is capable of producing practical landslide hazard maps that reflect an accurate measure of landslide risk during the 2009 Padang Earthquake. Inclusion of a water saturation contribution map in the conventional slope stability has proven able to better identify areas susceptible to landslides. Prior to the disaster, many of these landslide locations were demarcated as moderate risk regions in the local hazard map. Considering the high lethality of these events, this underestimate of the risk is a strong argument for a review of landslide risks using remote sensing to aid in assessing the combined effects of earthquake and rainfall on such landslides in this region.
机译:在确定极端降雨,地震或两者兼而有之后,确定滑坡风险是获取滑坡所涉及参数的准确空间细节的主要挑战。近几十年来,高分辨率卫星图像和数字高程模型在遥感方面的进展使得对滑坡灾害的制图和分析非常详细;但是,与传统的现场调查相比,验证这些技术的可靠性和准确性的工作很少。本文旨在通过评估使用遥感确定滑坡脆弱性的可行性来改善这种情况。此过程分为两个部分。首先,将2009年9月30日印度尼西亚苏门答腊巴东地震后在野外收集的全球定位系统(GPS)坐标与先进的星载热发射和反射辐射计(ASTER)以及Google Earth数字高程模型(DEM)和卫星进行了比较倒入陆地观测(SPOT-5)卫星图像。他们显示出合理的空间和高度差异,这表明遥感技术适用于滑坡灾害评估。其次,利用这些数据进行的地理信息系统(GIS)分析的结果表明,遥感技术能够生成实用的滑坡灾害图,这些图可以准确反映2009年巴东地震期间的滑坡风险。实践证明,在常规边坡稳定性中包括水饱和度贡献图,能够更好地识别易受滑坡影响的区域。在灾难发生之前,许多此类滑坡位置在当地灾害图中被划为中等风险区域。考虑到这些事件的致命性,这种风险的低估是使用遥感技术评估该地区滑坡和地震的综合影响来回顾滑坡风险的有力论据。

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