COMPARATIVE ANALYSIS OF DIFFERENT SPATIAL RESOLUTION SATELLITE WITH DIFFERENT IMAGERY MEANS
Litvinov Vitaliy, Chernihiv National University of Technology (95 Shevchenka Str., 14027 Chernihiv, Ukraine)
Zhytnyk Oleh, Chernihiv National University of Technology (95 Shevchenka Str., 14027 Chernihiv, Ukraine)
Urgency of the research. Due to the relentless technologies development remote sensing has become an important tool in the study of the Earth's surface today.
Target setting. Hundreds of remote sensing satellites rotate around the Earth at present. Because of its diversity the problem of comparing the characteristics of the most important remote sensing satellites raises.
Actual scientific researches and issues analysis. The use of remote sensing in practice is actively covered both foreign and local authors.
Uninvestigated parts of general matters defining. Although there were attempts to analyze and compare the characteristics of remote sensing satellites, but broad survey and comparison of aerospace probe spacecrafts still not conducted.
The research objective. In this article it is invited to review and compare the defining characteristics of optoelectronic systems of some iconic remote sensing satellites.
The statement of basic materials. Today, remote sensing has been used in several branches . It can be made both from space and from the air and ground rigs . Remote sensing does not require initial investments. Some even seem satellite imagery freely available. It was therefore considered the most significant modern examples of satellite imagery and investigated their characteristics and availability. Thus, images of AVHRR, MODIS, ASTER, Landsat 7 and 8, MSI, SPOT 6 and 7, Pleiades-1A and 1B, WorldView-1, 2, 3, 4 and GeoEye-1 were reviewed.
Conclusions. It compared the basic means of remote sensing from space. It was determined free of charge, most available and most detailed images of the Earth from artificial satellites.
remote sensing, Earth’s artificial satellite, scanning, aerospace imagery, spectral band, spatial resolution
1. Aggarwal, S. (2004). Principles of Remote Sensing. Satellite Remote Sensing and GIS Applications in Agricultural Meteorology: Proceedings of a Training Workshop, 7–11 July 2003. Dehra Dun, India, рp. 23–38.
2. Adrov, V.N., Karionov, Iu.I., Titarov, P.S., Chekurin, A.D. (2004). Kriterii vybora dannykh DZZ dlia topograficheskogo kartografirovaniia [Criterias of Remote Sensing Data Choice for topographic mapping]. Moscow: Rakurs (in Russian).
3. Carfagna, E. (5–7 June 2001). Cost-effectiveness of Remote Sensing in Agricultural and Environmental Statistics. Proceedings of the Conference on Agricultural and Environmental Statistical Applications in Rome (CAESAR), vol. 3, рp. 618–627.
4. Vorobeva, А.А. (2012). Distantsionnoe zondirovanie Zemli [Remote Sensing]. St. Petersburg: SPbU ITMO (in Russian).
5. AVHRR. Retrieved from https://www.nsof.class.noaa.gov/data_available/avhrr/index.htm.
6. Moderate Resolution Imaging Spectroradiometer (MODIS). Retrieved from http://eoweb.dlr.de:8080/short_guide/D-MODIS.html.
7. ASTER Satellite Sensor. Retrieved from http://www.satimagingcorp.com/satellite-sensors/other-satellite-sensors/aster/.
8. LandSat 7. Retrieved from https://ru.wikipedia.org/wiki/LandSat-7 (in Russian).
9. LandSat-8. Retrieved from https://ru.wikipedia.org/wiki/LandSat-8 (in Russian).
10. Copernicus: Sentinel-2 – The Optical Imaging Mission for Land Services. Retrieved from https://directory.eoportal.org/web/eoportal/satellite-missions/c-missions/copernicus-sentinel-2.
11. SPOT-6 and SPOT-7 Commercial Imaging Constellation. Retrieved from https://directory.eoportal.org/web/eoportal/satellite-missions/s/spot-6-7.
12. Pleiades-1A, 1B. Retrieved from https://innoter.com/satellites/924.
13. Sputnik DZZ. Vse sputniki DZZ [Remote Sensing Satellite. All Remote Sensing Satellites]. Retrieved from http://ecoruspace.me/WorldView-1.html (in Russian).
14. GeoEye-1. Retrieved from http://www.racurs.ru/?page=456 (in Russian).