1 Sizov O.S.

Russian Space Systems (Spacecorp), JSC

The paper analyzes the development of the technical capabilities of civil optical satellite ERS with a spatial resolution higher than 10 m/pix. On the basis of the ratio between the mass of the spacecraft and the maximum resolution of target equipment is offered hyperbolic regression function that describes the average specification for remote sensing systems with varying degrees of detail. The statistical sampling includes all the civil remote sensing satellites with high and ultra-high resolution, functioning on the orbit at the beginning of May 2016. The analysis on the effectiveness of missions completed their existence, as well as progressive devices and constellations, is conducted by using the obtained function. The data of existing and planned national remote sensing satellites are compared. Author made brief conclusions about the main trends of development of the world›s optical segment of high resolution imagery, as well as about the matching of the Russian group ERS evolution plans to observed trends.
1.   Baklanov A.I. Analiz sostoyaniya i tendencii razvitiya sistem nablyudeniya vysokogo i sverhvysokogo razresheniya. Vestn. Samarskogo gos. aehrokosmicheskogo un-ta, 2010, no. 2, pp. 80–91.
2.   Gudilin V.E., Slabkij L.I. Sozdanie pervyh iskusstvennyh sputnikov Zemli. Nachalo izucheniya Luny. Sputniki «Zenit» i «Ehlektron». Raketno-kosmicheskie sistemy (Istoriya. Razvitie. Perspektivy), M.: Prosveshchenie, 1996, 326 p.
3.   Kuchejko A.A. Itogi zapuskov sputnikov s"yomki Zemli v 2014 godu: rekordnyj rost i nastuplenie nanosputnikov. URL: http://russia.dauria.ru/wp-content/uploads/2015/03/97-20141.pdf
4.   Angeloa P., Máttyusa G., Reinartza P. (2016) Skybox image and video product evaluation. Intern. Journ. of Image and Data Fusion, Volume 7, no. 1, pp. 3–18. DOI: 10.1080/19479832.2015.1109565.
5.   Belward A.S., Skøien J.O. (2015) Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites. ISPRS Journ. of Photogrammetry and Remote Sensing, no. 103, pp. 115–128. DOI: 10.1016/j.isprsjprs.2014.03.009.
6.   Dowman I., Jacobsen K., Konecny G., Sandau R. (2012) High Resolution Satellite Imagery. Whittles Publishing, Dunbeath, Scotland, UK, pp. 248.
7.   Euroconsult. Satellite-Based Earth Observation. Market Prospects to 2024. 8th edition. URL: http://www.euroconsultec.com/shop/earth-observation/74-satellite-based-earthobservation-market-prospects-to-2024.html
8.   Jacobsen K. High Resolution Imaging Satellite Systems. EARSeL 3D_Remote Sensing Workshop. Porto, 2005, 9 S., CD, URL: https://www.ipi.uni-hannover.de/uploads/tx_tkpublikationen/HRIjac.pdf
9.   Lewis R., Stavish T. (2015) The new race for Space. IQT Quartely, Volume 6, no. 3, pp. 2–4. URL: http://fas.org/irp/eprint/iqt-space.pdf
10.   The CORONA Program. URL: http://www.nro.gov/history/csnr/corona/index.html
Sizov O.S., 
(2017) Comparative analysis of function of the optical spacecraft Earth's remote sensing based on the ratio between the mass of the satellite and the maximum spatial resolution of the target equipment. Geodesy and cartography = Geodezia i Kartografia, (2), pp. 46-56. (In Russian). DOI: 10.22389/0016-7126-2017-920-2-46-56
Publication History
Received: 05.07.2016
Accepted: 28.10.2016
Published: 28.02.2017


2017 february DOI:

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