scholarly journals Main patterns of the spatial localization of various types of coniferous and coniferous-deciduous forests of the northern macroslope of the western caucasus based on Earth remote sensing

2020 ◽  
Vol 3 (1) ◽  
pp. 1-7
Author(s):  
R.Kh. Pshegusov ◽  
◽  
F.А. Tembotova ◽  
Yu.M. Sablirova
Keyword(s):  
Remote Sensing ◽  
Spatial Localization ◽  
Deciduous Forests ◽  
Western Caucasus ◽  
Earth Remote Sensing ◽  
The Western Caucasus

scholarly journals Geomorphological conditions of formation of landslides hazards in the Western Caucasus and methods of their monitoring

2020 ◽  
Vol 26 (2) ◽  
pp. 264-274
Author(s):  
Elena Voskresenskaya ◽  
Ivan Voskresensky ◽  
Sergey Sokratov ◽  
Alexander Suchilin ◽  
Alexander Shnyparkov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Slope Angle ◽  
Laser Scanner ◽  
Potential Hazard ◽  
Western Caucasus ◽  
Digital Elevation ◽  
Site Use ◽  
The Western Caucasus ◽  
Elevation Model

Toppling, falling and sliding of slopes are widespread in the mountains of the Western Caucasus. The slope hazards on Aibga Ridge and in the Mzymta river basin determine the ecological and geomorphological conditions for construction and operation of first of all, the linear infrastructures (roads and railways). Investigation considered the characteristic of the recent gravity-induced processes and corresponding slopes, including topples, falls, slides and spreads. According to the research results, ecological-geomorphological zoning (allocation of ecological-geomorphological sub-zones) was carried out. The base for the sub-zones regionalization were the morphometric characteristics: the relative excess (m) between the conjugate landforms and slope angle. The possibilities of applying modern techniques for monitoring and preventing of dangerous slope processes were investigated. The monitoring technique for high-precision fixation of “movements” of dangerous slopes was considered, which included several stages of applying modern hardware tools (ground-based and aerospace remote sensing): preliminary allocation of sections along a linear object that represent a potential hazard; ground-based sensing, in which various geodetic instruments (laser robotic total station, laser scanner, digital stereo-camera, etc.) are positioned on a reference marks of geodetic control network to monitor object of interest; analysis of satellite imagery data from various satellites (Landsat, Pléiades, ALOS, Sentinel) and transforming them into the adopted coordinate system of the research site; use of unmanned aerial vehicles (UAVs) for local large-scale remote sensing, which allows to obtain large-scale ortho-photo-maps and digital elevation model of the surface of an investigated area.

scholarly journals Typification and correction of forest vegetation syntaxa of the Western Caucasus

2021 ◽  
Vol 3 (10) ◽  
pp. 28-36
Author(s):  
Elena Belonovskaya ◽  
◽  
Olga Morozova ◽  
Keyword(s):  
Forest Vegetation ◽  
Deciduous Forests ◽  
International Code ◽  
Mountain Forests ◽  
Western Caucasus ◽  
Beech Forests ◽  
The Western Caucasus ◽  
Juniper Woodland ◽  
Woodland Communities ◽  
Phytosociological Nomenclature

The article presents the typification and correction of mountain forests’ syntaxa established by one of the authors for the Western Caucasus. Unvalid classification units are validated according to the International Code of the Phytosociological Nomenclature (Theurillat et al., 2021): 2 associations of mesophytic deciduous forests of the order Lathyro–Carpinetalia and 3 associations of fir-beech forests of the order Rhododendro pontici–Fagetalia orientalis of the Carpino–Fagetea class, as well as 2 associations of oak pubescent forests and juniper woodland communities of the class Quercetea pubescentis. The main reasons of the invalidity of original publications are the absence of a nomenclature type or the ineffectiveness of the publication.

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

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.

Algorithm for planning of realization of thematic programs of the Earth remote sensing

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

The problem of ballistic design of the space system Earth remote sensing in stable near-circular sun-synchronous orbits with long-term spacecraft lifetime

2018 ◽  
pp. 3-9
Author(s):  
V. M. Artyushenko ◽  
D. Y. Vinogradov
Keyword(s):  
Remote Sensing ◽  
Target Function ◽  
Normal Operation ◽  
Space Systems ◽  
Light Conditions ◽  
Space System ◽  
Earth Remote Sensing ◽  
Synchronous Orbit ◽  
Favorable Conditions

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.

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