Extraction of Water Bodies from Sentinel-2 Images in the Foothills of Nepal Himalaya

Kumod Lekhak, P. Rai, P. Budha
{"title":"Extraction of Water Bodies from Sentinel-2 Images in the Foothills of Nepal Himalaya","authors":"Kumod Lekhak, P. Rai, P. Budha","doi":"10.30897/ijegeo.1240074","DOIUrl":null,"url":null,"abstract":"This paper evaluates an integrated water body mapping method in sub Himalayan region of Nepal with optical images of Sentinel – 2 satellites of European Space Agency. The objectives of this study is to evaluating the integrated method of water body mapping with Sentinel – 2 data and to find the optimal mapping method in Sub Himalaya region. This method extracts the information on water bodies by combining image indices and near infrared band and used slope image to remove false results.. The study results indicate that difference of indices is more accurate to map the water bodies than single index method as it enhance the contrast between water bodies and other environmental features. On the basis of the accurately mapped water bodies of the study area, this research conclude that the multi spectral images from the Sentinel images can be ideal data source for water bodies monitoring with fine spatial and temporal resolution. Although smaller water bodies with high vegetation cover cannot be detected by this method, the integrated water body mapping method is suitable for the applications multi-spectral images in this field.","PeriodicalId":176110,"journal":{"name":"International Journal of Environment and Geoinformatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environment and Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30897/ijegeo.1240074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper evaluates an integrated water body mapping method in sub Himalayan region of Nepal with optical images of Sentinel – 2 satellites of European Space Agency. The objectives of this study is to evaluating the integrated method of water body mapping with Sentinel – 2 data and to find the optimal mapping method in Sub Himalaya region. This method extracts the information on water bodies by combining image indices and near infrared band and used slope image to remove false results.. The study results indicate that difference of indices is more accurate to map the water bodies than single index method as it enhance the contrast between water bodies and other environmental features. On the basis of the accurately mapped water bodies of the study area, this research conclude that the multi spectral images from the Sentinel images can be ideal data source for water bodies monitoring with fine spatial and temporal resolution. Although smaller water bodies with high vegetation cover cannot be detected by this method, the integrated water body mapping method is suitable for the applications multi-spectral images in this field.
尼泊尔喜马拉雅山麓Sentinel-2图像水体提取研究
利用欧洲空间局Sentinel - 2卫星的光学图像,对尼泊尔亚喜马拉雅地区水体综合制图方法进行了评价。本研究的目的是评估Sentinel - 2数据在亚喜马拉雅地区水体制图的综合方法,并寻找最佳的制图方法。该方法结合图像指数和近红外波段提取水体信息,并利用斜坡图像去除虚假结果。研究结果表明,指数差异法比单一指数法更准确地映射水体,增强了水体与其他环境特征之间的对比。在对研究区水体进行精确测绘的基础上,研究认为Sentinel多光谱影像可作为水体监测的理想数据源,具有较好的时空分辨率。虽然该方法无法检测到植被覆盖程度较高的小水体,但综合水体制图方法适合多光谱图像在该领域的应用。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信