Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 5, pp. 85-96

Assessing the design characteristics of low-orbit Earth remote sensing constellations

M.A. Ivanushkin 1, 2 , O.D. Zhaldybina 1 
1 Samara National Research University, Samara, Russia
2 Image Processing Systems Institute — Samara, NRC “Kurchatov Institute”, Samara, Russia
Accepted: 26.08.2024
DOI: 10.21046/2070-7401-2024-21-5-85-96
The paper considers Earth remote sensing space systems. The purpose of the paper is to evaluate the design characteristics of low-orbit constellations of Earth remote sensing spacecrafts. The process of information flow generation by spacecraft instruments of ultra-low-orbit spacecrafts is analyzed. The results of information flow calculations for three altitudes of operation of an ultra-low-orbiting small spacecraft operating at altitudes below 400 km equipped with multispectral and panchromatic photosensitive elements are described. The selection of orbital parameters of the constellation of ultra-low-orbital spacecrafts providing quasi-continuous observation of the Earth’s surface is carried out. Pareto-optimal values of orbital altitude and inclination, providing maximum coverage of the Earth’s surface by one spacecraft at minimum observation periodicity, are obtained. The periodicity of observation of local regions of the Earth has been assessed, as well as the efficiency of information delivery by the constellation of ultra-low-orbital spacecrafts. Pareto-optimal solutions for multi-satellite systems providing observation periodicity less than 2.5 hours for global observation are obtained. Dependencies describing the information exchange between a spacecraft and a ground receiving point were obtained. As a result, dependencies are obtained that allow determining the required characteristics of the onboard storage device and spacecraft transmitting equipment, as well as defining the requirements for ground receiving points of space information.
Keywords: information flow, Earth remote sensing instrument, space system, Earth remote sensing
Full text

References:

  1. Adjan A. P., Alifanov O. M., Andreev A. N., Raketno-kosmicheskaya tekhnika Mashinostroenie. Enciklopediya (Rocket and space technology. Mechanical Engineering. Encyclopedia), Frolov K. V. (ed.), Moscow: Mechanical engineering, 2004, Vol. IV-12, 925 p. (in Russian).
  2. Volotsuev V. V., Low-orbit spacecraft for highly detailed observation with a long lifetime in working orbits with an altitude below four hundred kilometers, Engineering J.: Science and Innovation, 2021, No. 12(120), Article 3, 17 p. (in Russian), DOI: 10.18698/2308-6033-2021-12-2135.
  3. Volotsuev V. V., Digital model of the drag force of the Earth’s upper atmosphere for the design of low-orbit spacecraft, Vestnik of Samara University. Aerospace and Mechanical Engineering, 2023, Vol. 22, No. 3, pp. 13–24 (in Russian), DOI: 10.18287/2541-7533-2023-22-3-13-24.
  4. Emelianiv A. A., Malishev V. V., Nguen V. X.N. et al., Mathematical model of functioning of the ground segment of remote sensing data processing in terms of distribution of processing processes, Scientific and Technical Volga Region Bulletin, 2018, No. 2, pp. 74–79 (in Russian), DOI: 10.24153/2079-5920-2018-8-2-74-79.
  5. Emelianiv A. A., Malishev V. V., Starkov A. V., Grishanceva L. A., Zubkova K. I., Zai Yar Vin (2019a), Results of experimental testing of the mathematical model for distribution of target information flows during operation of space remote sensing systems, Scientific and Technical Volga Region Bulletin, 2019, No. 8, pp. 32–36 (in Russian).
  6. Emelianiv A. A., Malishev V. V., Starkov A. V., Grishanceva L. A., Zubkova K. I., Zai Yar Vin (2019b), Analysis and formation of performance indicators in the task of distribution of target information flows in the operation of space remote sensing systems, Scientific and Technical Volga Region Bulletin, 2019, No. 8, pp. 28–31 (in Russian).
  7. Ivanushkin M. A., Tkachenko I. S., Efficiency assessment of multi satellite Earth remote sensing space systems, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 4, pp. 101–110 (in Russian), DOI: 10.21046/2070-7401-2023-20-4-101-110.
  8. Karsaev O. V., Simulation of a small satellites group autonomous control, Izvestiya SFEDU, Engineering Sciences, 2018, No. 1(195), pp. 140–154 (in Russian), DOI: 10.23683/2311-3103-2018-1-140-154.
  9. Karsaev O. V., Analysis of information interaction efficiency in low-orbit satellite constellations, Proc. SPIIRAN, 2019, Vol. 18, No. 4, pp. 858–886 (in Russian), DOI 10.15622/sp.2019.18.4.858-886.
  10. Malishev V. V., Krasilshikov M. N., Bobronnikov V. T., Nesterenko O. P., Fedorov A. V., Sputnikovye sistemy monitoringa: Analiz, sintez i upravlenie (Satellite monitoring systems: Analysis, synthesis and control), Moscow: MAI Publ. House, 2000, 568 p. (in Russian).
  11. Mozhaev G. V., Sintez orbital’nyh struktur sputnikovyh sistem: Teoretiko-gruppovoi podhod (The synthesis of the orbital structures of satellite systems: group-theoretic approach), Moscow: Mashinostroenie, 1989, 303 p. (in Russian).
  12. Potupkin A. U., Danilin N. S., Selivanov A. S., Small satellites clusters — a new type of space objects, Rocket and space instrumentation and information systems, 2017, Vol. 4, Issue 4, pp. 45–56 (in Russian), DOI: 10.17238/issn2409-0239.2017.4.45.
  13. Sollogub A. V., Anshakov G. P., Danilov V. V., Kosmicheskie apparaty sistem zondirovaniya poverhnosti Zemli: Matematicheskie modeli povysheniya effektivnosti KA (Spacecraft of Earth surface sensing systems: Mathematical models for improving spacecraft efficiency), Moscow: Mechanical engineering, 1993, 368 p. (in Russian).
  14. Tkachenko I. S., Safronov S. L., Ivanushkin M. A., Kaurov I. V., Programma Russian Space System Developer (RSSD) dlya modelirovaniya tselevogo funktsionirovaniya i otsenki effektivnosti mnogosputnikovykh kosmicheskikh sistem razlichnogo naznacheniya (Russian Space System Developer (RSSD) program for modeling of target operation and performance evaluation of multi-satellite space systems for various purposes), Certificate of state registration of software No. 2023612104 (RU), Reg. 30.01.2023 (in Russian).
  15. Shirobokov V. V., Shinkarenko A. F., Approach to the organization of inter-satellite interaction in the distributed computing structure of the orbital constellation of microsatellites, Proc. A. F. Mozhaisky Military Space Academy, 2015, No. 646, pp. 77–82 (in Russian).
  16. Araniti G., Bezirgiannidis N., Birrane E. et al., Contact graph routing in DTN space networks: Overview, enhancements and performance, IEEE Communications Magazine, 2004, Vol. 53, No. 3, pp. 38–46, DOI: 10.1109/MCOM.2015.7060480.
  17. Ekici E., Akyildiz I. F., Bender M. D., A distributed routing algorithm for datagram traffic in LEO satellite networks, IEEE/ACM Trans. Networking, 2001, Vol. 9, No. 2, pp. 137–147, DOI: 10.1109/90.917071.
  18. Ivliev N., Evdokimova V., Podlipnov V. et al., First Earth-imaging CubeSat with harmonic diffractive lens, Remote Sensing, 2022, Vol. 14(9), Article 2230, 19 p., DOI: 10.3390/rs14092230.
  19. Ivliev N., Podlipnov V., Petrov M. et al., 3U CubeSat-based hyperspectral remote sensing by offner imaging hyperspectrometer with radially-fastened primary elements, Sensors, 2024, Vol. 24(9), Article 2885, pp. 442–450, DOI: 10.3390/s24092885.
  20. Walker J. G., Satellite constellations, J. British Interplanetary Society, 1984, Vol. 37, pp 559–571.