KMS Institute of Mountain Hazards and Environment,CAS
Research on a 3D Geological Disaster Monitoring Platform Based on REST Service | |
Xiaopeng Leng1,2,3; Dunlong Liu4; Junsong Luo5; Zhanyong Mei1 | |
Corresponding Author | Dunlong Liu |
2018 | |
Source Publication | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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ISSN | 2220-9964 |
Volume | 7Issue:6Pages:226 |
Subtype | Article |
Contribution Rank | 3 |
Abstract | Representational 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. |
Keyword | REST geological disasters monitoring three-dimensional |
DOI | 10.3390/ijgi7060226 |
Indexed By | SCI |
Language | 英语 |
WOS ID | WOS:000436275700028 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://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 |
Affiliation | 1.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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File Name/Size | DocType | Version | Access | License | ||
Research on a 3D Geo(6374KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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