A new dyke rock from Pokrovo-Kyriyivo massif (Azov Sea AREA, Ukraine)

2017 ◽  
Vol 39 (3) ◽  
pp. 53-66 ◽  
Author(s):  
S. Kryvdik ◽  
◽  
V. Sharygin ◽  
V. Gatsenko ◽  
E. Lunev ◽  
...  
Keyword(s):  
Dyke Rock ◽  
Azov Sea ◽  
Sea Area

Carnivora of the Tamanian faunal unit (the Azov Sea area)

2009 ◽  
Vol 201 (1-2) ◽  
pp. 43-52 ◽  
Author(s):  
Marina Sotnikova ◽  
Vadim Titov
Keyword(s):  
Azov Sea ◽  
Sea Area

scholarly journals Ta-Nb Mineralization in the Alkaline Rocks of the Eastern Azov Sea Area (Ukraine)

2018 ◽  
Vol 40 (3) ◽  
pp. 39-64 ◽  
Author(s):  
S. Kryvdik ◽  
V. Sharygin ◽  
O. Dubyna ◽  
V. Morgun ◽  
L. Tomurko
Keyword(s):  
Alkaline Rocks ◽  
Azov Sea ◽  
Sea Area

Mineralogical and Petrographic Peculiarities of Malignites of the Pokrovo-Kyriyivo Massif (Azov Sea Area, Ukraine)

2016 ◽  
Vol 38 (2) ◽  
pp. 52-71 ◽  
Author(s):  
S. Kryvdik ◽  
V. Gatsenko ◽  
E. Lunev ◽  
A. Vyshnevskyi ◽  
L. Kanunikova
Keyword(s):  
Azov Sea ◽  
Sea Area

scholarly journals Detection of water surface natural objects based on the satellite sensing data

2021 ◽  
Vol 2131 (3) ◽  
pp. 032053
Author(s):  
N D Panasenko ◽  
N S Motuz
Keyword(s):  
Neural Network ◽  
Water Surface ◽  
Satellite Images ◽  
Computer Experiments ◽  
Filtration Method ◽  
Sensing Data ◽  
Azov Sea ◽  
Detection And Identification ◽  
Network Approaches ◽  
Sea Area

Abstract The article shows an application of satellite sensing data method in geoenvironmental monitoring of water surface. It is expected to apply combination of LBP and neural network approaches for detection and identification objects of natural and anthropogenic origin. The applying of satellite images, the implementation and operation of the filtration method and satellite sensing data assimilation in real or near-real time are considered to detect the blooming areas and their coordinates. The research demonstrates the need and possibility to apply neural approach and the theory of deep learning for solving the tasks. The results of computer experiments are presented basing on the images from satellites Resurs-P, WorldView and Landsat over the Azov sea area.

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