Using Vise Island as an example, a study was conducted to identify interpretation features of Arctic island surface objects on the multitemporal composite with coherence (MTC), one of the most popular imaging products of satellite radar interferometry. The materials of Sentinel-1B satellite imagery for the entire period of its operation were used. From the 2019 images, 26 pairs of radar images acquired at an interval of 12 days and their corresponding coherence images were formed, the color synthesis of which generated multi-temporal color images covering all seasons of the year. To account for the influence of weather on the color of the images, the average meteorological indices for each pair were calculated. A clear dependence of the color of the island image on the MTC on the season of imaging was revealed. Under conditions of minimal information about the surface obtained during rare visits, the correspondence of the MTC image color to some terrain objects was revealed and color decoding signs of surface objects were determined considering the season and weather conditions of the survey. The revealed signs are designed for visual perception of the MTC image color, they can be transformed into means of computer classification of the investigated objects, since the MTC image color in each case depends on the ratio of the values of amplitude values of the images of the used pair and the coherence value, i.e. has a clear quantitative expression. The results should be used to work with the data of domestic radar satellites

Elena A. Baldina
Candidate of Geographical Sciences
Leading Researcher
Department of Geography, Lomonosov Moscow State University
1, Leninskie Gory, Moscow, 119991, Russia
email: baldina@geogr.msu.ru
ORCID: 0000-0001-8231-3403
Scopus Author ID: 6601962558
ResearcherID: H-5987-2011
SPIN-код: 7817-6714

Valentina I. Kravtsova
Doctor of Geographical Sciences
Leading Researcher
Department of Geography, Lomonosov Moscow State University
1, Leninskie Gory, Moscow, 119991, Russia
email: valentinamsu@yandex.ru
ResearcherID: L-9858-2015
Scopus Author ID: 7004608220
SPIN-код: 7097-6541

Vera Yu. Shirshova
Lead engineer
JSC Russian space systems
53, Aviamotornaya Str., Moscow, 111024, Russia
email: vshirshova.msu@yandex.ru
ORCID: 0000-0003-1012-3541
SPIN-код: 6165-7046

1. Zakharov A.I., Yakovlev O.I., Smirnov V.M. Sputnikovyi monitoring Zemli. Radiolokatsionnoe zondirovanie poverkhnosti [Satellite monitoring of the Earth. Radar surface sensing]. Moscow: Krasand; 2012. 248 p.
2. Gnevanov I.V., Shamin P.V. Evaluation of land surface deformation of “Uralkaliy” JSC mining areas near Berezniki city using methods of radar interferometry.  Geomatika. 2012;(1):56–60.
3. Vinogradova N.S.; Sosnovsky A.V. Coherence maps application for insar data accuracy improving. Ural Radio Engineering Journal. 2018;2(1): 67–80. DOI: 10.15826/urej.2018.2.1.006.
4. Dostovalov M.Yu., Troshko K.A. An experimental estimation of coherence using magnitude Sentinel-1 synthetic aperture radar images. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2020; 17(2): 9–18. DOI: 10.21046/2070-7401-2020-17-2-9-18.
5. Pietranera L., Cesarano L., Britti F., Gentile V., Kantemirov Y.I. New MTC product based on cosmo-skymed data. Geomatika. 2012;(1): 46–51.
6. Chimitdorzhiev T.N., Dmitriev A.V., Dagurov P.N. Technology of joint analysis of Sentinel-1 interferometric coherence time series and vegetation index based on Sentinel-2 data for monitoring agricultural fields. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2020;17(4): 61–72. DOI: 10.21046/2070-7401-2020-17-4-61-72.
7. Srivastava H.S., Patel P., Navalgund R.R. Application potentials of synthetic aperture radar interferometry for land-cover mapping and crop-height estimation. Current Science. 2006;91(6):783–788.
8. Jiang M., Yong B., Tian X., Malhotra R., Hu R., Li Z., Yu Z., Zhang X. The potential of more accurate InSAR covariance matrix estimation for land cover mapping. ISPRS Journal of Photogrammetry and Remote Sensing. 2017;126:120–128. DOI: 10.1016/j.isprsjprs.2017.02.009.
9. Ostrov Vize. Iz tekhnicheskogo dela stantsii [Vise Island. From the technical file of the station]. Available at: http://sevmeteo.polarpost.ru/articles/18/76.shtml.html (accessed 24.10.2024).
10. Baldina E.A., Shirshova V.Yu., Romanenko F.A., Lugovoi N.N., Zhdanova E.Yu. Dynamics of coastline and surface conditions of the small Arctic islands (Vize and Ushakova) from multitemporal optical and radar images. Lomonosov geography journal. 2022;(1):107–121.
11. Romanenko F.A. The geomorphic processes intensiveness on the islands and coasts of the Kara and Laptev seas (on the base of polar stations data). Geomorfologiya. 2008(1):56–64.
12. Shirshova V.Yu., Baldina E.A. The seasonal changes investigation of Vize island surface for the mapping purposes using a multitemporal coherence composite (MTC). Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2021;18(4):79–91. DOI: 10.21046/2070-7401-2021-18-4-79-91.