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Research on a 3D Geological Disaster Monitoring Platform Based on REST Service
Xiaopeng Leng1,2,3; Dunlong Liu4; Junsong Luo5; Zhanyong Mei1
Corresponding AuthorDunlong Liu
2018
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume7Issue:6Pages:226
SubtypeArticle
Contribution Rank3
AbstractRepresentational state transfer (REST) is a resource-based service architectural style. It abstracts data and services as resources and accesses them through a unique Uniform Resource Identifier (URI). Compared with traditional Simple Object Access Protocol (SOAP) methods, REST is more concise. It takes full advantage of HyperText Transfer Protocol (HTTP) and has better scalability and extensibility. Based on REST services, this article integrates geographic information, real-time disaster monitoring data, and warning services in a three-dimensional (3D) digital Earth infrastructure and establishes a three-dimensional geological disaster monitoring GIS platform with good service compatibility and extensibility. The platform visually displays geographical and geological information and real-time monitoring data in a three-dimensional Earth, accesses warning model services to implement disaster warnings, and realizes comprehensive information management, monitoring, and warnings of multiple types of geological disasters. This can provide decision support for disaster prevention and relief and improve the informatization of geological disaster prevention and control.
KeywordREST geological disasters monitoring three-dimensional
DOI10.3390/ijgi7060226
Indexed BySCI
Language英语
WOS IDWOS:000436275700028
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23416
Collection中国科学院水利部成都山地灾害与环境研究所
Affiliation1.College of Cyber Security, Chengdu University of Technology, Chengdu 610059, China;
2.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
4.College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China;
5.College of Information Science and Technology, Chengdu University of Technology, Chengdu 610059, China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Xiaopeng Leng,Dunlong Liu,Junsong Luo,et al. Research on a 3D Geological Disaster Monitoring Platform Based on REST Service[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(6):226.
APA Xiaopeng Leng,Dunlong Liu,Junsong Luo,&Zhanyong Mei.(2018).Research on a 3D Geological Disaster Monitoring Platform Based on REST Service.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(6),226.
MLA Xiaopeng Leng,et al."Research on a 3D Geological Disaster Monitoring Platform Based on REST Service".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.6(2018):226.
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