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Research on cloud computing for disaster monitoring using massive remote sensing data

Satellite remote sensing technology can extract disaster information rapidly and accurately for disaster monitoring on a regional or national basis. However, various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to handle such massive remote sensing images. In this paper, it provides the solutions for massive remote sensing data analysis and rapid information extraction. A detailed description of the web platform offers an interoperable framework to integrate distributed data and model resources for disaster monitoring using cloud computing. A high throughput cloud computing interfaces and the design of integrated disaster rapid cloud platform are proposed in this paper. In addition, this system provides well interoperability for users. With three typical disaster applications as use case, the experiment proves that the framework is quite efficient for rapid extraction of disaster information based on massive remote sensing data.