Web-Based Geospatial Data Processing Technology -- A Case Study on Ocean Data

Xin Zhang, Wen Dong, Jian Liu, Huabin Chen
{"title":"Web-Based Geospatial Data Processing Technology -- A Case Study on Ocean Data","authors":"Xin Zhang, Wen Dong, Jian Liu, Huabin Chen","doi":"10.1109/WISM.2010.25","DOIUrl":null,"url":null,"abstract":"The geospatial data such as ocean in situ observing data, remotely sensed data, and model output are produced in a distributed geographical environment. These data have significant scientific value to construct Digital Ocean. However, given the relatively high temporal frequency and the intrinsic spatial nature of the data, the data set is relatively difficult to use directly by Digital Ocean system without pre-processing. In this paper, we report an effort to develop web service-based data processing system in a distributed web environment to facilitate the exploration, visualization, and analysis of the geospatial data especially ocean data. These automatic processing functions will enable the digital ocean system to examine and use different aspects of the data on-line. Various functions and utilities of the prototype system are reviewed in this paper. And the architecture and technical solutions proposed in this paper are verified by implementation of Digital Ocean Prototype System of China.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The geospatial data such as ocean in situ observing data, remotely sensed data, and model output are produced in a distributed geographical environment. These data have significant scientific value to construct Digital Ocean. However, given the relatively high temporal frequency and the intrinsic spatial nature of the data, the data set is relatively difficult to use directly by Digital Ocean system without pre-processing. In this paper, we report an effort to develop web service-based data processing system in a distributed web environment to facilitate the exploration, visualization, and analysis of the geospatial data especially ocean data. These automatic processing functions will enable the digital ocean system to examine and use different aspects of the data on-line. Various functions and utilities of the prototype system are reviewed in this paper. And the architecture and technical solutions proposed in this paper are verified by implementation of Digital Ocean Prototype System of China.
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web的地理空间数据处理技术——以海洋数据为例
海洋原位观测数据、遥感数据和模式输出等地理空间数据是在分布式地理环境中产生的。这些数据对构建数字海洋具有重要的科学价值。然而,由于数据具有较高的时间频率和固有的空间性质,如果不进行预处理,数据集很难被数字海洋系统直接使用。本文介绍了在分布式网络环境下开发基于web服务的数据处理系统,以促进地理空间数据特别是海洋数据的探索、可视化和分析。这些自动处理功能将使数字海洋系统能够在线检查和使用数据的不同方面。本文综述了原型系统的各种功能和实用功能。并通过中国数字海洋原型系统的实现对本文提出的体系结构和技术方案进行了验证。
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
Numerical Simulation of Micronized Re-burning (MCR) Organic Acid Salt Used as an Accelerator The Research of the Grouping Algorithm for Chinese Learners Based on Transitive Closure Research on Multi-colony Diploid Genetic Algorithm for Production Logistics Scheduling Optimization Application of Second Order Diagonal Recurrent Neural Network in Nonlinear System Identification Synchronization Research of Uncoupled Hyper-chaotic Systems
×
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