Flood inundation mapping using Sentinel-1A in An Giang province in 2019

T. Nguyen, Trung Chinh Nguyen, T. Nguyen, T. Doan
{"title":"Flood inundation mapping using Sentinel-1A in An Giang province in 2019","authors":"T. Nguyen, Trung Chinh Nguyen, T. Nguyen, T. Doan","doi":"10.31276/vjste.62(4).36-42","DOIUrl":null,"url":null,"abstract":"a given flood event. Apart from initial studies, several research works have concentrated on improving estimation accuracy [11-14]. Review articles [15, 16] are also available. Since the mid Abstract: An Giang is one of the provinces in the Mekong delta that is greatly affected by flood events, which brings damage and devastation to life and property. This study practices the application of Sentinel-1A images to monitor the distribution of flood depths in the An Giang province in 2019 as well as applies regression correlation and thresholding to scattering value analysis. The research results indicated the exponential regression model on the VV polarization images had correlation coefficients (r) in August, September, and October ranging from 0.8398 to 0.9764 and determination coefficients (R 2 ) ranging from 0.7896 to 0.9533. Results from the map of current flood depth showed that the flood depth ranged from 0-250 cm, which corresponded to four flood levels. The flood area increased from August to October with the largest flooded area being 89,606.82 ha (accounting for 26.15%) mainly on rice lands and in eight urban districts including An Phu, Tinh Bien, Chau Thanh, Chau Phu, Phu Tan, Tri Ton, Chau Doc, and Long Xuyen city. The limit of flood depth determined by using the Sentinel-1A images was below 145 cm. Above this value, the scattering in the image is not significantly different from the actual submerged depth.","PeriodicalId":23548,"journal":{"name":"Vietnam Journal of Science, Technology and Engineering","volume":"73 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vietnam Journal of Science, Technology and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31276/vjste.62(4).36-42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

a given flood event. Apart from initial studies, several research works have concentrated on improving estimation accuracy [11-14]. Review articles [15, 16] are also available. Since the mid Abstract: An Giang is one of the provinces in the Mekong delta that is greatly affected by flood events, which brings damage and devastation to life and property. This study practices the application of Sentinel-1A images to monitor the distribution of flood depths in the An Giang province in 2019 as well as applies regression correlation and thresholding to scattering value analysis. The research results indicated the exponential regression model on the VV polarization images had correlation coefficients (r) in August, September, and October ranging from 0.8398 to 0.9764 and determination coefficients (R 2 ) ranging from 0.7896 to 0.9533. Results from the map of current flood depth showed that the flood depth ranged from 0-250 cm, which corresponded to four flood levels. The flood area increased from August to October with the largest flooded area being 89,606.82 ha (accounting for 26.15%) mainly on rice lands and in eight urban districts including An Phu, Tinh Bien, Chau Thanh, Chau Phu, Phu Tan, Tri Ton, Chau Doc, and Long Xuyen city. The limit of flood depth determined by using the Sentinel-1A images was below 145 cm. Above this value, the scattering in the image is not significantly different from the actual submerged depth.
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
基于Sentinel-1A的2019年安江省洪水淹没制图
给定的洪水事件。除了初步研究外,一些研究工作集中在提高估计精度上[11-14]。综述文章[15,16]也可用。摘要:安江是湄公河三角洲地区受洪涝灾害影响较大的省份之一,洪涝灾害给人民生命财产带来巨大损失和破坏。本研究将Sentinel-1A图像应用于2019年安江省洪水深度分布监测,并将回归相关和阈值法应用于散射值分析。研究结果表明,8月、9月和10月VV偏振影像的指数回归模型相关系数(r)在0.8398 ~ 0.9764之间,决定系数(r2)在0.7896 ~ 0.9533之间。当前洪水深度图结果显示,洪水深度范围为0 ~ 250 cm,对应4个洪水级别。8 - 10月洪涝面积增加,洪涝面积最大,为89,606.82公顷(占26.15%),主要集中在稻田和安富、亭边、洲清、洲富、富滩、三屯、洲Doc、龙宣市等8个市区。利用Sentinel-1A图像确定的洪水深度限制在145 cm以下。在此值以上,图像中的散射与实际淹没深度没有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study on some biological characteristics of the albino strain of medicinal fungus Cordyceps militaris isolated in Vietnam Development of a PCB-based passive capacitive sensor for fluidic flow detection Degradation of acrylic-melamine based varnish containing Tinuvin 292 with accelerated exposure in fluorescent UV and condensation Study on synthesis of carboxymethyl cellulose from pineapple leaf waste and its potential applications as a thickener Fabrication of transparent flexible electrodes on polyethylene terephthalate substrate with high conductivity, high transmittance, and excellent stability
×
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