| Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
|---|---|---|
| Article Number | 07027 | |
| Number of page(s) | 8 | |
| Section | Land Use and Ecology | |
| DOI | https://doi.org/10.1051/e3sconf/202016407027 | |
| Published online | 05 May 2020 | |
Structurally decryptable complexes - a new taxonomic unit in cosmo-geological research
1 National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan
2 Institute for Advanced Studies and Retraining of Geological Sector Workers of the State Committee for Geology of the Republic of Uzbekistan, Uzbekistan
3 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, 100000, M. Ulugbek str., Tashkent, Uzbekistan
* Corresponding author: shamshodbekjon@mail.ru
The article presents the results of studies on the use of remote sensing data for the selection of geological structures based on structurally interpretable complexes. In addition, modern digital materials of satellite images of the Earth’s surface, obtained from different satellite systems were used. The purpose of this research is the creation of a new generation of cosmogeological maps-remote fundamentals of the study area based on the integrated use of satellite imagery with geological and geophysical data. The structurally-decrypted complexes (SDC) were identified on the remote bases cosmogeological maps compiled using digital satellite images on base all Republic of Uzbekistan. Denoting tectonic disturbances and ring structures, as well as summarizing cosmogical and geological information, it is possible to distinguish predicted areas; one can solve various current geological problems by analyzing satellite imagery channels. One of the new scientific and thematic solutions of the research is the autonomous isolation of intrusive, sedimentary-volcanogenic and sedimentary structurally-deciphered complexes in combination with the structural and geodynamic features of the region, which helps to identify elements that are not distinguished by other methods.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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