标题: Online emergency mapping based on disaster scenario and data integration

作者: Ren, F (Ren, Fu); Li, YW (Li, Yiwen); Zheng, ZH (Zheng, Zhihe); Yan, H (Yan, Han); Du, QY (Du, Qingyun)

来源出版物: INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION DOI: 10.1080/19479832.2021.1963329提前访问日期: AUG 2021

摘要: Emergency mapping is a task that requires abundant professional knowledge and complex operations, especially in high timeliness demands in disaster scenarios. The operation of the conventional cartographic system based on GIS in the desktop environment is complicated and requires operators to have strong professional skills, while the network environment provides low-cost, unified geographical data services and easy-to-use operation without using any specific software. In this paper, we propose an online emergency mapping framework, which is a novel idea for rapid mapping and combining multi-source heterogeneous disaster data with cartographer knowledge. Through a disaster scenario model for emergency mapping, the corresponding relationship between scenarios and map groups can be understood. Through disaster data integration, knowledge rules, mapping templates, map symbol engines, and a simple wizard, an emergency response map can be rapidly produced. With the support of the techniques mentioned above, a prototype system is developed to verify the efficiency and validity of the framework. The results demonstrate that a framework that can effectively assist decision makers in displaying the present situation clearly and accurately has high practical value. The study also provides a novel perspective for shortening the mapping cycle in emergencies.

入藏号: WOS:000683219800001

语言: English

文献类型: Article; Early Access

作者关键词: Emergency mapping; spatial data integration; disaster scenario; symbol engine

KeyWords Plus: INFORMATION; DESIGN; MAPS; WEBGIS; ATLAS; RISK

地址: [Ren, Fu; Li, Yiwen; Zheng, Zhihe; Du, Qingyun] Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Yan, Han] Shanghai Surveying & Mapping Inst, Shanghai, Peoples R China.

通讯作者地址: Du, QY (通讯作者)，Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址:qydu@whu.edu.cn