首页> 外文期刊>American Journal of Remote Sensing >Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence
【24h】

Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence

机译:基于Googa Sub盆地洪水评估与管理的基于谷歌地球发动机的方法 - Ghaghra汇合对GOMTI Confluence

获取原文
获取外文期刊封面目录资料

摘要

Floods are an intense and frequent disaster happening in numerous portions of the world. Flood is a excess of water that submerges surroundings that is normally dry. It is the sever problem in Ganga Sub Basin - Ghaghra Confluence to Gomti Confluence of Uttar Pradesh. Near real time mapping of inundated areas is very important for figuring out the flood extent, deployment of emergency reaction teams, and evaluation of damages and casualties. In this thesis work, a real time flood mapping and monitoring online WEB based application using Sentinel-1 time-series data has been developed on Google Earth Engine (GEE) platform. The SAR Data has Capability to see through the cloud and during the flood the major problem with optical data is, it can not see through the cloud. In this thesis work the SAR data has been used to identify the inundated pixels before and during flood to identify the extent and calamities due to flood. Flood is a hazardous natural phenomenon which severely affect lives, goods and services. Monitoring of flood affected area becomes compulsory for emergency responses but due to damage of network and risk for lives in going such areas it becomes a very typical task. Google Earth Engine (GEE) is an open-source cloud based online platform which reduces this problem. In this thesis work the GEE platform has been used for Near-Real time flood mapping in the study area. The GEE based app "FLOOD MONITORING SYSTEM: GANGA SUB BASIN - GHAGHRA CONFLUENCE TO GOMTI CONFLUENCE" has been developed for Near-Real time flood Mapping.
机译:洪水在世界众多部分中发生了强烈而频繁的灾难。洪水是过量的水淹没通常干燥的周围环境。这是甘达盆地的切割问题 - 北方邦的Gomti汇合的Ghaghra汇合。淹没区域附近的实时映射对于剥夺泛滥程度,部署紧急反应团队以及对损害赔偿和伤亡的评估非常重要。在本文工作中,在Google地球发动机(GEE)平台上开发了使用Sentinel-1时间序列数据的实时洪水映射和监控在线基于Web的应用程序。 SAR数据有能力看到通过云和洪水期间光学数据的主要问题,它无法通过云看到。在本文工作中,SAR数据已被用于识别洪水之前和洪水之前的淹没像素,以确定由于洪水导致的程度和灾难。洪水是一种危险的自然现象,严重影响生命,商品和服务。对洪水影响区域的监测成为紧急响应的强制性,但由于网络的损害以及生活中的生活风险成为一个非常典型的任务。谷歌地球发动机(GEE)是一个基于开源的云的在线平台,可减少此问题。在本文工作中,GEE平台已被用于研究区域的近实时洪水映射。基于GEE基于的应用程序“洪水监测系统:GANA SUB BACIN - GHAGHRA Confluence对GOMTI Confluence”的开发,近乎实时洪水映射。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号