An INTEGRATED DISASTER RAPID CLOUD SERVICE PLATFORM USING REMOTE SENSING DATA

被引:0
作者
Zou, Quan [1 ]
Li, Guoqing [2 ]
Yu, Wenyang [2 ]
机构
[1] Southwest Univ, Ctr Res & Innovat Software Engn, Sch Comp Informat & Sci, Chongqing, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
来源
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词
remote sensing analysis; cloud computing; intergrated service; SYSTEM; MANAGEMENT;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Satellite can provide remote sensing data for disaster monitoring, and various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to store and process massive data acquired by satellite as fast as possible. A flexible and rapid service platform can realize integrated services from data acquisition, data production and product visualization. This article provides a detailed description of a web platform that offers an integrated framework for disaster monitoring using cloud computing, and a middleware that offers the high throughput computing of remote sensing information processing. In addition, this system provides communication between users. We choose three typical disaster monitoring models using remote sensing data as use case. This study then reports on the results of using an integrated rapid service platform.
引用
收藏
页码:5221 / 5224
页数:4
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