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27 June 2019 Study of plant communities of ecotopes formed by denudation at cliff
Marina Krylenko, Sergey Krylenko, Viacheslav Krylenko
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Proceedings Volume 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019); 111740I (2019) https://doi.org/10.1117/12.2531634
Event: Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 2019, Paphos, Cyprus
Abstract
The plant communities of the sea coasts are formed in the specific conditions of the natural environment. Denudation processes on the sea coast have significant impact to the development of cliff vegetation. This paper presents the results of studies of plant communities’ characteristics on the intensively denudated Black Sea coast. There are four main ecotopes marked by the nature of denudation processes and substrate. Seventy seven plant species are detected at the sea cliff of Tuapkhat massif during geobotanical study. July 6, 2012 on the Black Sea coast near Gelendzhik the extreme storm rainfalls took place. Numerous landslides and landfalls were noted on the coast as a result of rain. The most damaged by denudation sites were identified by analyzing of satellite image series (WorldView-2, WorldView-3, GeoEye-1, Pleiades-1). At the second stage, surveys were carried out from the drone, followed by the construction of digital earth models (DEM) and orthophotoplans for test sites. Field geobotanical investigations at the test sites were performed. It is determined that the distribution of landslide cones is irregular. In total the 20 large landslides with a volume more than 100 m3 were noted. In the course of our research, a significant effect of the past natural extreme phenomenon to the plant communities on the coast was noted. After the extreme rainfall, the new ecotope was formed by landslide bodies. This ecotope is characterized by increased species diversity.
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Marina Krylenko, Sergey Krylenko, and Viacheslav Krylenko "Study of plant communities of ecotopes formed by denudation at cliff", Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 111740I (27 June 2019); https://doi.org/10.1117/12.2531634
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KEYWORDS
Landslides
Vegetation
Cameras
Image analysis
3D modeling
Satellite imaging
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