scholarly journals RESEARCH OF THE CHANGE DYNAMICS OF THE AREA OF KIEV GROUP OF ISLANDS OF THE DNIEPER

Author(s):  
O. Tomchenko ◽  
L. Mazurkiewicz ◽  
A. Malets ◽  
I. Pidlisetska

The study is based on the reconstruction of the historic appearance of the Kiev group of islands of the Dnieper on the basis of the use of archival and modern aerospace materials. The purpose of the study is the justification for the introduction of the protection regime for the Kiev group of islands of the Dnieper that are under greater human impact. To preserve landscapes the Velykyy Pivnichnyy Island, an ecological pathway is proposed and the landscape map scheme of the Velykyy Pivnichnyy Island is developed on the basis of the application of geoinformation technologies (GIS) and Earth Remote Sensing (RS) techniques. Mapping the historical reconstruction of the old Dnipro’s riverbed allowed displaying the historical look of the Dnipro River to the formation of a reservoir. During the study, the significant changes in the area of the Kiev archipelago’s islands in the period from 1942 to 2017 were installed. Determined that the islands began to decrease as a result of anthropogenic changes (alluvial sand), which negatively affected the state of their biotopes. The work is devoted to the analysis of area changes in the Kiev group of islands of the Dnieper (16 largest islands) and environs for 75 years and to the detailed study of the landscape structure of the Velykyy Pivnichnyy Island and its island – the satellite Ptashynyy that emerged recently and continues to intensively form. A detailed cartographic scheme for the landscapes of the Velykyy Pivnichnyy Island is created and a new ecological pathway is developed.

2020 ◽  
Vol 27 ◽  
pp. 00113
Author(s):  
Almaz Sabirzyanov ◽  
Mikhail Panasyuk ◽  
Nikolai Trofimov ◽  
Svetlana Sochneva

This article discusses the study of the process of ravine erosion using geoinformation technologies and Earth remote sensing data. Ravine erosion, which develops on the territory of the Verkhneuslonsky municipal region of the Republic of Tatarstan, is considered as a multifactorial process. The possibility of using freely available data to study the factors affecting ravine erosion is evaluated. It is shown that in modern conditions of increased anthropogenic environmental impact, especially in areas heavily divided by ravines, the use of GIS technology is sufficient in order to monitor and quickly respond to negative erosion processes occurring on agricultural lands.


Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.


2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  

Author(s):  
V. M. Artyushenko ◽  
D. Y. Vinogradov

The article deals with the issues related to the problem of ballistic design of the space system of remote sensing of the Earth on stable near-circular solar-synchronous orbits with long-term existence of spacecraft. We propose a rational method of maintaining a solar-synchronous orbit in given light conditions with prolonged active lifetime of space systems. In solving this problem, the total time of normal operation of the system for a given period of operation, during which the most favorable conditions for the use of spacecraft are provided on the main parts of orbits, is taken as a target function.


Author(s):  
B. V. Kostrov ◽  
◽  
V. N. Ruchkin ◽  
A. I. Taganov ◽  
A. N. Kolesenkov ◽  
...  

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