Geoinformation modeling of near-Earth space: current tasks and future prospects

P.Yu Orlov,M.A Boyarchuk,I.G Zhurkin,E Zavalishina

doi:10.1051/e3sconf/202131006002

P.Yu Orlov, M.A Boyarchuk + Show 2 more

Open Access

https://doi.org/10.1051/e3sconf/202131006002

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Abstract

The history of space exploration and current near-Earth space objects population are described in this paper. Moreover, the necessity of GIS technologies application to solve space industry tasks and the development of corresponding GIS are explained. The legal and regulatory issues of the near-Earth space GIS project development are touched upon, as well as the classification and options for the target purpose of the system. The stages of technological search and development are presented, as a result of which the Cesium library was chosen. Based on the results of discussions, a decision is made to expand the limits of the modeling space to the outer boundaries of the Hill sphere. In addition, it is noted that the objects of geoinformation modeling of near-Earth space should be not only space objects, considered as three-dimensional, but also the physical fields of the Earth. The results of performance evaluation experiments on SGP4/SDP4 based software tool for predicting space objects position are shown, and the accuracy of this model itself is assessed by reference GPS coordinates. Possible ways of industry tasks that could be solved using the developed near-Earth space GIS are presented; promising routes of the future development including DISCOS data are indicated.

Highlights

To begin with, it is important to define the specific terms, definitions and acronyms that will be referred to this paper [1, 2].Near-Earth space (NES) – the space limited by a sphere which radius is equal to the average distance from the Earth to the Moon (~384,000 km)
A prototype of a conceptual near-Earth space geoinformation system (NES GIS) has been developed (Fig. 4) with an accompanying software tool for prediction of Space object (SO) location and three-dimensional dynamic scenes generation, which makes it possible to calculate the motion of satellites in the nearEarth space at a time specified by the user within the forecast script, to display attribute data and to evaluate the possibility of getting imagery by Earth remote sensing satellites, in particular, for cross-calibration of the Earth’s remote sensing payload [29]
Only the orbit data size will be 722,07 Gbytes. These results provide a direct evidence of the need to use distributed data processing and motion prediction of all cataloged space objects [38]

Summary

Introduction

It is important to define the specific terms, definitions and acronyms that will be referred to this paper [1, 2]. To study the whole variety of bodies in near-Earth space, it is necessary to have the most complete set of data that forms the descriptive context of the constantly evolving situation in the NES This concerns information about the shape of the object, when there are no three-dimensional models of the surveyed SO. The final goal of this research carried out at Moscow State University of Geodesy and Cartography (MIIGAiK) is to create a single aggregating geoinformation platform for nearEarth space modeling, including artificial and natural objects motion, the Earth’s physical fields influence on them, remote sensing conditions modeling and planning, orbital parameters analysis and other tasks

Regulatory issues and classification development

Technological search

Update of near-Earth space GIS term

Software development

Experimental results and prospects

Results and discussion