基于WebGIS的地质数据管理平台的设计与实现

Jinku Huang, Ping Li, Y. Lou, Yingru Pei
{"title":"基于WebGIS的地质数据管理平台的设计与实现","authors":"Jinku Huang, Ping Li, Y. Lou, Yingru Pei","doi":"10.1109/ICGMRS55602.2022.9849234","DOIUrl":null,"url":null,"abstract":"China Geological Survey (CGS) has accumulated a large number of geological data in its geological survey activities, but the relevant geological data exists in a variety of forms and data formats, with low utilization and difficulty in sharing, which is not conducive to the rapid inquiry and mining and utilization of geological data. Relying on different types of geological data produced by CGS, this paper uses ArcGIS Server, Web Service, Ajax, Memcached, and other computers and GIS technologies to complete the digitization, integration and includes standardized management of different types of geological data such as article reports, geological maps, geological vector data and geological remote sensing image data. In this paper, a WebGIS-based geological data management and display platform is developed to achieve a one-stop service for geological data collection, storage, query and visualization, which can quickly respond to scientific researchers to view geological data and multidimensional statistical analysis needs. The experiment proves that the platform can effectively improve the information technology level of geological data management and the working efficiency of researchers.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Design and Implementation of Geological Data Management Platform based on WebGIS\",\"authors\":\"Jinku Huang, Ping Li, Y. Lou, Yingru Pei\",\"doi\":\"10.1109/ICGMRS55602.2022.9849234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"China Geological Survey (CGS) has accumulated a large number of geological data in its geological survey activities, but the relevant geological data exists in a variety of forms and data formats, with low utilization and difficulty in sharing, which is not conducive to the rapid inquiry and mining and utilization of geological data. Relying on different types of geological data produced by CGS, this paper uses ArcGIS Server, Web Service, Ajax, Memcached, and other computers and GIS technologies to complete the digitization, integration and includes standardized management of different types of geological data such as article reports, geological maps, geological vector data and geological remote sensing image data. In this paper, a WebGIS-based geological data management and display platform is developed to achieve a one-stop service for geological data collection, storage, query and visualization, which can quickly respond to scientific researchers to view geological data and multidimensional statistical analysis needs. The experiment proves that the platform can effectively improve the information technology level of geological data management and the working efficiency of researchers.\",\"PeriodicalId\":129909,\"journal\":{\"name\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGMRS55602.2022.9849234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

中国地质调查局(CGS)在地质调查活动中积累了大量地质数据,但相关地质数据存在多种形式和数据格式,利用率低,共享困难,不利于地质数据的快速查询和挖掘利用。本文以中国地质调查局生成的不同类型的地质数据为依托,利用ArcGIS Server、Web Service、Ajax、Memcached等计算机和GIS技术,完成了对文章报告、地质图、地质矢量数据、地质遥感影像数据等不同类型地质数据的数字化、集成化和规范化管理。本文开发了一个基于webgis的地质数据管理与显示平台,实现了地质数据采集、存储、查询和可视化的一站式服务,能够快速响应科研人员查看地质数据和多维统计分析的需求。实验证明,该平台能有效提高地质资料管理的信息化水平和科研人员的工作效率。
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
Design and Implementation of Geological Data Management Platform based on WebGIS
China Geological Survey (CGS) has accumulated a large number of geological data in its geological survey activities, but the relevant geological data exists in a variety of forms and data formats, with low utilization and difficulty in sharing, which is not conducive to the rapid inquiry and mining and utilization of geological data. Relying on different types of geological data produced by CGS, this paper uses ArcGIS Server, Web Service, Ajax, Memcached, and other computers and GIS technologies to complete the digitization, integration and includes standardized management of different types of geological data such as article reports, geological maps, geological vector data and geological remote sensing image data. In this paper, a WebGIS-based geological data management and display platform is developed to achieve a one-stop service for geological data collection, storage, query and visualization, which can quickly respond to scientific researchers to view geological data and multidimensional statistical analysis needs. The experiment proves that the platform can effectively improve the information technology level of geological data management and the working efficiency of researchers.
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
Research on UAV remote sensing multispectral image compression based on CNN MDNet: A Multi-modal Dual Branch Road Extraction Network Using Infrared Information Quantitative Evaluation of Digital Orthophoto Map Influence of shallow ocean front on propagation characteristics of low frequency sound energy flow Application of GA-BP neural network in prediction of chl-a concentration in Wuliangsu Lake
×
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