首页> 外文会议>International symposium on remote sensing;ISRS >DELINEATING FLOOD DAMAGED AREAS BY TYPHOON USING MULTIPLE REMOTE SENSING AND GIS-BASED MODEL
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DELINEATING FLOOD DAMAGED AREAS BY TYPHOON USING MULTIPLE REMOTE SENSING AND GIS-BASED MODEL

机译:台风多重遥感和基于GIS的台风灾害区划

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Flood is a devastating natural hazard in the world. It damages agriculture, industry, residence, economics, and human health. North Korea (NK) has suffered flood damage almost every year since 1995. Especially, there was serious flood at Hoeryeong City in NK hit by Typhoon Lionrock on 30th August 2016. It resulted in many people died and homeless. There is a possibility that NK land use change has increased the probability of flood occurrence and susceptibility of flood damage than usual. Therefore, it is necessary to investigate the relationship between land use change and flood in order to prevent or mitigate flood damage resulting from land use change. Remote Sensing (RS) can be used to detect land use change, and delineate Flood Damaged Areas (FDAs). Also, Geographic Information System (GIS) based logistic regression model can modify FDAs. Therefore, the objective of this study was to investigate the flood effect by land use change using multiple RS data, Digital Elevation Model data, and GIS techniques. Eventually it contributes to providing the basic information to mitigate the flood damage after reunification.
机译:洪水是世界上毁灭性的自然灾害。它损害农业,工业,住宅,经济和人类健康。自1995年以来,朝鲜(NK)几乎每年都遭受洪水破坏。特别是,2016年8月30日,台风狮岩袭击了北领地Hoeryeong市的严重洪灾,造成许多人死亡和无家可归。 NK土地用途的变化可能比平常增加了发生洪灾的可能性和遭受洪灾破坏的可能性。因此,有必要研究土地利用变化与洪水之间的关系,以防止或减轻土地利用变化对洪水的破坏。遥感(RS)可用于检测土地用途的变化,并划定洪灾灾区(FDA)。而且,基于地理信息系统(GIS)的逻辑回归模型可以修改FDA。因此,本研究的目的是使用多个RS数据,数字高程模型数据和GIS技术来研究土地利用变化对洪水的影响。最终,它有助于提供基本信息,以减轻统一后的洪水灾害。

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