基于Sentinel 1 Sar数据集的巴东市沿海地区地面沉降环境监测

F. Fajrin, Almegi Almegi, Aljunaid Bakari, R. Ramadhan, Yudi Antomi
{"title":"基于Sentinel 1 Sar数据集的巴东市沿海地区地面沉降环境监测","authors":"F. Fajrin, Almegi Almegi, Aljunaid Bakari, R. Ramadhan, Yudi Antomi","doi":"10.24036/SJDGGE.V5I1.359","DOIUrl":null,"url":null,"abstract":"The land surface in the Padang City is thought to be experiencing a continuous relative subsidence due to natural processes and man-made activities. Factors that affect land subsidence include earthquakes, sea level rise, infrastructure development, sediment transport, and excessive use of groundwater sources. The purpose of this research is to map the rate of land subsidence which is processed from the Sentinel 1-A radar, satellite imagery using the Differential Synthetic Aperture Radar (DInSAR) method. The data used are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) imagery which were acquired in 2018 and 2019. Image processing is carried out by filtering and multilooking techniques on Synthetic Aperture Radar (SAR) images. The following process changes the phase unwrapping to the ground level phase using phase displacement. Land subsidence in 2018–2019 from DInSAR processing reached -10.5 cm / year. The largest land subsidence occurred in North Padang with an average of -7.64 cm/year. Land subsidence in the Padang City, which is located near the estuary, is due to the nature of the alluvial sediment material. The use of Sentinel 1 SAR remote sensing data can provide important information in the context of mitigating land subsidence in the Padang City. Therefore, we need the right policies to handle future land subsidence cases. Land subsidence mapping is one of the factors that determine the vulnerability of coastal areas to disasters","PeriodicalId":174212,"journal":{"name":"Sumatra Journal of Disaster, Geography and Geography Education","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enviromental Monitoring of Land Subsidence in The Coastal Area of Padang City Using Sentinel 1 Sar Dataset\",\"authors\":\"F. Fajrin, Almegi Almegi, Aljunaid Bakari, R. Ramadhan, Yudi Antomi\",\"doi\":\"10.24036/SJDGGE.V5I1.359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The land surface in the Padang City is thought to be experiencing a continuous relative subsidence due to natural processes and man-made activities. Factors that affect land subsidence include earthquakes, sea level rise, infrastructure development, sediment transport, and excessive use of groundwater sources. The purpose of this research is to map the rate of land subsidence which is processed from the Sentinel 1-A radar, satellite imagery using the Differential Synthetic Aperture Radar (DInSAR) method. The data used are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) imagery which were acquired in 2018 and 2019. Image processing is carried out by filtering and multilooking techniques on Synthetic Aperture Radar (SAR) images. The following process changes the phase unwrapping to the ground level phase using phase displacement. Land subsidence in 2018–2019 from DInSAR processing reached -10.5 cm / year. The largest land subsidence occurred in North Padang with an average of -7.64 cm/year. Land subsidence in the Padang City, which is located near the estuary, is due to the nature of the alluvial sediment material. The use of Sentinel 1 SAR remote sensing data can provide important information in the context of mitigating land subsidence in the Padang City. Therefore, we need the right policies to handle future land subsidence cases. Land subsidence mapping is one of the factors that determine the vulnerability of coastal areas to disasters\",\"PeriodicalId\":174212,\"journal\":{\"name\":\"Sumatra Journal of Disaster, Geography and Geography Education\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sumatra Journal of Disaster, Geography and Geography Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24036/SJDGGE.V5I1.359\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sumatra Journal of Disaster, Geography and Geography Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24036/SJDGGE.V5I1.359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

由于自然过程和人为活动,巴东市的地表被认为正在经历持续的相对下沉。影响地面沉降的因素包括地震、海平面上升、基础设施建设、沉积物运输和地下水资源的过度使用。本研究的目的是利用差分合成孔径雷达(DInSAR)方法对Sentinel 1-A雷达处理的卫星图像绘制地面沉降率图。使用的数据是2018年和2019年获得的两对Sentinel-1A 1级单视复合体(SLC)图像。采用滤波和多视技术对合成孔径雷达(SAR)图像进行处理。下面的过程使用相位位移将相位展开更改为地面相位。2018-2019年,DInSAR处理导致的地面沉降达到-10.5厘米/年。巴东北部地面沉降最大,平均沉降量为-7.64 cm/年。位于河口附近的巴东市的地面沉降是由于冲积沉积物的性质造成的。Sentinel 1 SAR遥感数据的使用可以为减轻巴东市的地面沉降提供重要信息。因此,我们需要正确的政策来处理未来的地面沉降情况。地面沉降测绘是决定沿海地区易受灾害影响程度的因素之一
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enviromental Monitoring of Land Subsidence in The Coastal Area of Padang City Using Sentinel 1 Sar Dataset
The land surface in the Padang City is thought to be experiencing a continuous relative subsidence due to natural processes and man-made activities. Factors that affect land subsidence include earthquakes, sea level rise, infrastructure development, sediment transport, and excessive use of groundwater sources. The purpose of this research is to map the rate of land subsidence which is processed from the Sentinel 1-A radar, satellite imagery using the Differential Synthetic Aperture Radar (DInSAR) method. The data used are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) imagery which were acquired in 2018 and 2019. Image processing is carried out by filtering and multilooking techniques on Synthetic Aperture Radar (SAR) images. The following process changes the phase unwrapping to the ground level phase using phase displacement. Land subsidence in 2018–2019 from DInSAR processing reached -10.5 cm / year. The largest land subsidence occurred in North Padang with an average of -7.64 cm/year. Land subsidence in the Padang City, which is located near the estuary, is due to the nature of the alluvial sediment material. The use of Sentinel 1 SAR remote sensing data can provide important information in the context of mitigating land subsidence in the Padang City. Therefore, we need the right policies to handle future land subsidence cases. Land subsidence mapping is one of the factors that determine the vulnerability of coastal areas to disasters
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Literature reviews: Gender And Rural Development Gender-Based Sustainable Disaster Response Education to Anticipate the Problem of Women’s Vulnerability Effectiveness of The Padang Pariaman Disaster Emergency Preparedness Program (Papa Sadar Bana) Call Center 112 in Disaster Management in Padang Pariaman Regency Implementation of Flood Disaster Mitigation Strategy in Nagari Taram, Lima puluh Kota Regency Flood Management Based on The Potential Urban Catchments Case Study Padang City
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1