Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1367-1371, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1367-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1367-1371, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1367-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

ANALYSIS OF BIG DATA FROM SPACE

J. Tan1,2 and B. Osborne1 J. Tan and B. Osborne
  • 1International Space University, 79, Route du Rhin, Illkirch Graffenstaden, Strasbourg, France
  • 2Beijing Institute of Tracking and Telecommunication Technology, Beiqing Road, Haidian District, Beijing, China

Keywords: Space Data, Big Data, Cloud Computing, Data Mining, Platform Design, Data Intensive

Abstract. Massive data have been collected through various space mission. To maximize the investment, the data need to be exploited to the fullest. In this paper, we address key topics on big data from space about the status and future development using the system engineering method. First, we summarized space data including operation data and mission data, on their sources, access way, characteristics of 5Vs and application models based on the concept of big data, as well as the challenges they faced in application. Second, we gave proposals on platform design and architecture to meet the demand and challenges on space data application. It has taken into account of features of space data and their application models. It emphasizes high scalability and flexibility in the aspects of storage, computing and data mining. Thirdly, we suggested typical and promising practices for space data application, that showed valuable methodologies for improving intelligence on space application, engineering, and science. Our work will give an interdisciplinary knowledge to space engineers and information engineers.