Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 71-76, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
25 Oct 2013
Grid-based representation and dynamic visualization of ionospheric tomography
L. M. He1, Y. Yang1, C. Su1, J. Q. Yu2, F. Yang1, and L. X. Wu1,2 1Institute for Geo-informatics & Digital Mine Research, College of Resources and Civil Engineering, Northeastern University, 110819 Shenyang, China
2School of Environment Science and Spatial Informatics, China University of Mining and Technology, 221008 Xuzhou, China
Keywords: Ionospheric tomography, Spatial grids, Dynamic visualization, Global navigation satellite system Abstract. The ionosphere is a dynamic system with complex structures. With the development of abundant global navigation satellite systems, the ionospheric electron density in different altitudes and its time variations can be obtained by ionospheric tomography technique using GNSS observations collected by the continuously operating GNSS tracking stations distributed over globe. However, it is difficult to represent and analyze global and local ionospheric electron density variations in three-dimensional (3D) space due to its complex structures. In this paper, we introduce a grid-based system to overcome this constraint. First, we give the principles, algorithms and procedures of GNSS-based ionospheric tomography technique. Then, the earth system spatial grid (ESSG) based on the spheroid degenerated octree grid (SDOG) is introduced in detail. Finally, more than 400 continuously operating GNSS receivers from the International GNSS Service are utilized to realize global ionospheric tomography, and then the ESSG is used to organize and express the tomography results in 4D, including 3 spatial dimensions and time.
Conference paper (PDF, 800 KB)

Citation: He, L. M., Yang, Y., Su, C., Yu, J. Q., Yang, F., and Wu, L. X.: Grid-based representation and dynamic visualization of ionospheric tomography, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 71-76,, 2013.

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