Estimation the frequency of observation the arbitrary area on the Earth's surface by an orbital satellite constellation
- 1,2,3,4,5 JSC RTI (Moscow, Russia)
Keywords:
Remote sensingorbital satellite constellation parametersorbit parametersrandom point observation frequencyorbital motion modelCesiumJS
Abstract
The article considers the problem of estimation the observation frequency of a given arbitrary area on the Earth's surface by an orbital satellite constellation. A mathematical model is proposed that gives an estimate of the frequency of observation. The description of the model and the example of calculations performed using this model are given.
- Received
- 24.01.2023
- Approved after review
- 07.02.2023
- Accepted
- 16.02.2023
How to cite
Карасев Д.Ю., Андреев К.В., Леухин А.Н., Пахмутов А.С., Фантров А.И. Оценка периодичности наблюдения орбитальной спутниковой группировкой произвольной области на поверхности Земли // Наукоемкие технологии. 2023. Т. 24. № 2. С. 59−66. DOI: https:// doi.org/10.18127/j19998465-202302-08
References
- Mikrin E.A. Bortovye kompleksy upravleniya kosmicheskih apparatov: Ucheb. posobie. M.: MGTU im. N. E. Baumana, 2014. 245 s. (in Russian).
- Vyshinskij A.P., Zoc M.N., Kolesnik A.V., Ortikov M.Yu. Metodika rascheta periodichnosti nablyudeniya rajonov s uchetom detal'nosti kosmicheskoj s"emki. Trudy Voenno-kosmicheskoj akademii imeni A.F. Mozhajskogo. 2019. № 668. S. 137–144 (in Russian).
- CZML Structure URL: https://github.com/AnalyticalGraphicsInc/czml-writer/wiki/CZML-Structure
- 3D geospatial visualization for the web URL: https://cesium.com/platform/cesiumjs/
- Vinogradov A.G., Teokharov A.N. Estimation of coherence of the signal reflected from objects on Earth's surface in bistatic space SAR system. Science Intensive Technologies. 2022. V. 23. № 5. P. 41−48. DOI: https://doi.org/10.18127/j19998465-202205-06 (in Russian).
- Vinogradov A.G., Teokharov A.N. Estimation of coherence of the signal reflected from objects on Earth's surface in bistatic space SAR system. Science Intensive Technologies. 2022. V. 23. № 5. P. 49−57. DOI: https://doi.org/10.18127/j19998465-202205-07 (in Russian)
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