The Disaster Mitigation of Slow-Landslide Movement Induced By Rainfall Based on Ps-Insar Method

Farid Nur Bahti, Atika Praptawati
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Abstract

Disaster management is a big issue in the past few years. Talking about the disaster, an aspect that should be focussed on is mitigation. The development and the ability of Remote sensing technology have a significant impact on disaster management and significantly contribute to disaster mitigation, such as for the disaster monitoring system. The slow-landslide movement is rarely considered in disaster mitigation, even though the acceleration can increase time by time and will be more dangerous than usual. Therefore, the observation of the remote sensing technology is needed for disaster mitigation. PS-InSAR as a space-based observation method can observe the continuous movement on a site location. Thus, this study illustrates the slow-landslide movement mechanism based on remote sensing technology using the PS-InSAR method compared with rainfall data. In this study, the Sentinel-1 images and STAMPS/MTI by Hooper (2004) successfully detect the displacement rate of the Kalibawang Village, Special Region of Yogyakarta, Indonesia, with the maximum displacement rate -23 mm/year along the Line of Sight (LoS) of the satellite. The PS-InSAR result was also compared with the rainfall data, and shows a correlation of the movement during the rainfall season. Therefore, further mitigation is needed to reduce the risk of the disaster.
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基于Ps-Insar方法的降雨缓滑减灾研究
灾害管理是过去几年的一个大问题。谈到这场灾难,应该关注的一个方面是减灾。遥感技术的发展和能力对灾害管理产生重大影响,并对减轻灾害作出重大贡献,例如对灾害监测系统。缓慢的滑坡运动在减灾中很少被考虑,即使加速会随着时间的推移而增加,并且会比平时更危险。因此,减灾需要遥感观测技术。PS-InSAR作为一种天基观测方法,可以观测到一个站点位置的连续运动。因此,本研究利用PS-InSAR方法与降雨资料对比,阐明了基于遥感技术的滑坡缓慢运动机理。在本研究中,利用Hooper(2004)的Sentinel-1影像和STAMPS/MTI(2004)成功探测到印尼日惹特区kalibaawang村沿卫星视距(LoS)的最大位移率为-23 mm/年。PS-InSAR观测结果与降水资料进行了对比,结果显示了降水季节运动的相关性。因此,需要进一步减轻灾害风险。
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