Advanced Techniques for Watershed Visualization

V. J. Alarcon, C. O'Hara
{"title":"Advanced Techniques for Watershed Visualization","authors":"V. J. Alarcon, C. O'Hara","doi":"10.1109/AIPR.2006.10","DOIUrl":null,"url":null,"abstract":"Analytical shaded relief is commonly used for visualization of digital elevation models (DEMs). Sometimes, the quality of unaltered analytical shaded relief can be lacking for identification of streams and water divides. Hydroshading is a technique that provides enhanced capabilities of visualization of hydrologically-meaningful topographical features. In this research, hydroshading algorithms are applied to NASA's Shuttle Radar Topography Mission (SRTM) DEM datasets. The visualization technique is applied to coastal and inland watersheds in Mississippi (Saint Louis Bay and Luxapallila, respectively). The testing of hydroshading in these two areas shows that the technique is more effective in areas with moderate topographical relief than in low relief terrain. Combining hydroshading with standard three- dimensional visualization identification of water Hydroshaded DEMs were used to manually delineate Luxapallila and Saint Louis Bay's Wolf River catchments. Delineation results are comparable to output of standard automated delineation produced by GIS software (BASINS).","PeriodicalId":375571,"journal":{"name":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2006.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Analytical shaded relief is commonly used for visualization of digital elevation models (DEMs). Sometimes, the quality of unaltered analytical shaded relief can be lacking for identification of streams and water divides. Hydroshading is a technique that provides enhanced capabilities of visualization of hydrologically-meaningful topographical features. In this research, hydroshading algorithms are applied to NASA's Shuttle Radar Topography Mission (SRTM) DEM datasets. The visualization technique is applied to coastal and inland watersheds in Mississippi (Saint Louis Bay and Luxapallila, respectively). The testing of hydroshading in these two areas shows that the technique is more effective in areas with moderate topographical relief than in low relief terrain. Combining hydroshading with standard three- dimensional visualization identification of water Hydroshaded DEMs were used to manually delineate Luxapallila and Saint Louis Bay's Wolf River catchments. Delineation results are comparable to output of standard automated delineation produced by GIS software (BASINS).
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
流域可视化的高级技术
解析性阴影地形通常用于数字高程模型(dem)的可视化。有时,在确定溪流和分水岭时,可能缺乏未改变的分析阴影地形的质量。水遮阳是一种技术,提供了增强的可视化能力的水文有意义的地形特征。在这项研究中,hydroshading算法应用于NASA的航天飞机雷达地形任务(SRTM) DEM数据集。可视化技术应用于密西西比州的沿海和内陆流域(分别为圣路易斯湾和卢克夏帕利拉)。在这两个地区的水遮阳试验表明,该技术在地形起伏适中的地区比在低起伏地区更有效。将水遮阳与标准的水三维可视化识别相结合,采用水遮阳dem人工圈定了卢夏帕利拉和圣路易斯湾的沃尔夫河流域。圈定结果可与GIS软件(盆地)产生的标准自动圈定结果相媲美。
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
Evaluation of Algorithms for Tracking Multiple Objects in Video Rapid Automated Polygonal Image Decomposition Application Development Framework for the Rapid Integration of High Performance Image Processing Algorithms Automatic Alignment of Color Imagery onto 3D Laser Radar Data A Rate Distortion Method for Beamforming in RF Image Formation
×
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