With latest generation EO systems, Remote Sensing data is being generated in very large volumes across multiple formats, around the clock, such as LiDAR, SAR, and Hyperspectral (in global level and high resolution).\r\nAdvances in data acquisition techniques in Remote Sensing have resulted in introduction of multitude of operating payload having low GSD, higher revisit frequency, capable of operating round the clock and under any weather conditions. The datasets have become rich in higher spatial and spectral resolution, complex in structures and metadata, and diverse in applications areas.\r\nFor example, NASA EOSDIS, had 8292 unique data products, summing up to 9.1 Petabytes (PB) and growing at 6.4 Terabytes (TB) daily during the period from Oct 1, 2013 to Sept 30, 2014. These datasets were used by about 2 million users with an average end user distribution volume of 27.9 Terabyte each day [1].\r\nSuch recent trends in data-driven analysis necessities the need for Cyber-infrastructures capable of high-performance, scalable, or real-time computing that can efficiently handle “Big Data†workloads [2].\r\nIn this poster, our focus will be on “Data Storageâ€, and technologies being developed and used in other areas that can be applied in Remote Sensing Cyber-infrastructures.
