A Cloud Computing Solution for Big Imagery Data Analytics

Remote sensing data has grown explosively in the past decade. However, remote sensing application systems evolve slowly due to the challenges on big imagery data storage and processing. The cost of accessing current remote sensing images is still very high. The learning curve of using remote sensing images and image processing tools is still steep. The response to emergencies is not fast enough. The development of big data and cloud computing technologies in recent years has brought new opportunities and challenges for remote sensing application. The remote sensing business model based on web and cloud computing environment is a clear trend. This paper gives a brief overview on the challenges faced during building big imagery analytics system for remote sensing, and proposes a cloud computing solution for big imagery data analytics. Experimental results of cloud computing with space, traditional film, and UAV images are also presented in this paper. It is a full stack solution based on ArcGIS platform for remote sensing imagery storage, management, processing and application, which can be an ideal platform for the next generation remote sensing application business model.