scholarly journals VECTOR DATA DIFFERENCES IDENTIFICATION IN THE THEMATIC PROCESSING OF SPACE IMAGES

2017 ◽  
pp. 47-52
Author(s):  
A. A. Zalatoi ◽  
A. V. Urbanovich
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Research And Development ◽  
Thematic Analysis ◽  
Topographic Mapping ◽  
Vector Data ◽  
Target Information ◽  
Space Images ◽  
The Earth ◽  
Thematic Processing

The problem of differences identifying in vector graphics data packages and how to solve it is considered. Map information and vectorized data of remote sensing of Earth are sources of vector data in the article. The aim is to design a method for detecting differences in vector data packages, providing reliable results for updating map and monitoring areas tasks. Research and development is done by mathematical modeling of the task in MATLAB. The article provides developed method for solving the task and results of its application for finding differences between two vector data packages, obtained from the target information of remote sensing of the Earth, and/or vector layers of digital district map. This method allows you to automate the process and reduce the time of thematic analysis of cosmic information, obtained from remote sensing of the Earth for topographic mapping and monitoring areas.

On the displacements of the contours of the optic-electronic space images. Mathematical modeling of displacement

2017 ◽  
Vol 992 (4) ◽  
pp. 32-38 ◽  
Author(s):  
E.G. Voronin
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Mathematical Model ◽  
Point Of View ◽  
Design Features ◽  
Space Images ◽  
Electronic Imaging ◽  
Measuring Accuracy ◽  
Physical Laws

The article opens a cycle of three consecutive publications dedicated to the phenomenon of the displacement of the same points in overlapping scans obtained adjacent CCD matrices with opto-electronic imagery. This phenomenon was noticed by other authors, but the proposed explanation for the origin of displacements and the resulting estimates are insufficient, and developed their solutions seem controversial from the point of view of recovery of the measuring accuracy of opticalelectronic space images, determined by the physical laws of their formation. In the first article the mathematical modeling of the expected displacements based on the design features of a scanning opto-electronic imaging equipment. It is shown that actual bias cannot be forecast, because they include additional terms, which may be gross, systematic and random values. The proposed algorithm for computing the most probable values of the additional displacement and ways to address some of the systematic components of these displacements in a mathematical model of optical-electronic remote sensing.

scholarly journals Impact of forest fire on the vegetable cover of radioactively contaminated areas

2021 ◽  
pp. 68-80
Author(s):  
V. Landin ◽  
O. Tishchenko ◽  
V. Gurelia ◽  
T. Kuchma ◽  
V. Feshchenko
Keyword(s):  
Remote Sensing ◽  
Spectral Data ◽  
Nature Reserve ◽  
Dry Forest ◽  
Exclusion Zone ◽  
Space Images ◽  
The Earth ◽  
Drainage Canals ◽  
The Impact ◽  
Artificial Reservoirs

This article presents the results of assessing the impact of fires on the vegetation of the Chernobyl Exclusion Zone and the zone of unconditional (mandatory) resettlement, Drevlyansky Nature Reserve using means of remote sensing of the Earth for the period from 1986 to 2020. The methods and criteria for assessing vegetation damage using spectral data obtained from space satellites of the Earth and using methods of geoinformation technologies are proposed. This methodology provides mapping vegetation through remote sensing imagery. Comparing space images of the territory of the exclusion zone and the zone of unconditional mandatory resettlement for 1986, 1999, 2013, 2017, 2018, 2019, 2020, for the period of 34 years after the accident, identified significant changes in the condition of lands belonging to forest and agricultural lands. In the result of the study revealed the changes observed in the boundaries of water bodies because drying of artificial reservoirs, changes in the direction of riverbeds, waterlogging of drainage canals and adjacent forest areas. The identified effect from fires in forests where dry forest materials have accumulated and from consequences of forest management. It is also noted, that according to the spectral data of space images, areas of forest damaged by insects are well defined. The study reveals

scholarly journals APPLICATION OF REMOTE SENSING DATA TO THE ESTIMATION OF ANTHROPOGENOUS IMPACT ON ECOSYSTEMS (ON THE EXAMPLE WESTERN MONGOLIA)

2019 ◽  
Vol 6 (2) ◽  
pp. 128-133
Author(s):  
Liyana Abdrashitova ◽  
Alexander Chermoshentsev
Keyword(s):  
Remote Sensing ◽  
Anthropogenic Impact ◽  
Remote Sensing Data ◽  
Arid Areas ◽  
Space Images ◽  
Sensing Data ◽  
Western Mongolia ◽  
Automated Interpretation ◽  
Thematic Processing ◽  
Data Processing Methods

The article is devoted to the use of remote sensing data for assessing the anthropogenic impact on ecosystems on the example of arid areas. It describes main advantages and problems of the data processing methods, including automated interpretation of images. The technique of thematic processing of a time series of space images is proposed.

SATELLITE REMOTE SENSING IN SURVEYING PRESENT OPPORTUNITIES, FUTURE POSSIBILITIES

1986 ◽  
Vol 40 (3) ◽  
pp. 315-326
Author(s):  
G. D. Lodwick ◽  
S. H. Paine
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Computer Processing ◽  
Digital Data ◽  
Topographic Mapping ◽  
Data Manipulation ◽  
Resource Mapping ◽  
The Earth ◽  
Indispensable Tool ◽  
Hydrographic Surveying

Of all the areas of the earth sciences affected by satellite remote sensing, the surveying profession has been one of the last to take advantage of its unique features. This is due in part to: resolution limitations of Landsat 1, 2 and 3, difficulties in registration and positioning of the imagery, technical constraints in handling vast quantities of digital data, and the excellent methods currently available for the production of cartographic products. Nevertheless, satellite remote sensing has now emerged as a complementary procedure to many existing techniques utilized in surveying and mapping. Already, Landsat is being used for topographic mapping, hydrographic surveying and resource mapping purposes. However, with the improved resolution of Landsat 4, the potential of stereoscopic coverage with the SPOT satellites and present developments in computer processing and data manipulation, satellite remote sensing in the next decade will emerge as an indispensable tool for mapping and cartography.

scholarly journals Methodology for managing the flows of target information in the remote sensing space system Part 2. Interrelated mathematical models systems formation

2021 ◽  
Vol 22 (2) ◽  
pp. 148-161
Author(s):  
Alexander V. Starkov ◽  
Andrey А. Emelyanov ◽  
Lyubov A. Grishantseva ◽  
Ksenia I. Zhukovskaya ◽  
Alexander A. Morozov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Mathematical Models ◽  
Main Task ◽  
Space System ◽  
Target Information ◽  
Time Intervals ◽  
Earth Remote Sensing ◽  
Orbital Parameters ◽  
The Earth ◽  
The Cost

In the second part of the series of articles, the issues of the systemic organization of mathematical models for solving the problem of controlling the flows of target information in the Earth remote sensing space system are considered. A description of the interrelated mathematical models of the orbital constellation as components of the information system, the main task of which is to survey ground objects and the formation of the initial volume of information for its further processing, is presented. To calculate the time of servicing the request by the space segment, the following methods of formation are proposed: a model of the evolution of the Earth remote sensing spacecraft orbit; model for forecasting possible spacecraft correction intervals to maintain nominal orbital parameters; model for forecasting possible time intervals for on / off cycles of observation equipment; model for forecasting possible time intervals for dumping the received information to the information reception points. When calculating the cost of servicing a single request from the orbital complex, both the cost of servicing one spacecraft per unit of time and the cost of processing a single request from the ground complex were taken into account. In conclusion, a generalized form of representation of the target information flow model of the Earth remote sensing space system is proposed as an interconnected sequence of functions for changing the amount of information when an appropriate processing process (traffic change functions) is applied to it. General approaches to solving the optimization problem are considered.

scholarly journals Remote Sensing of the Earth as a Method of Assessing Environmental Quality of Urban Areas

2020 ◽  
pp. 5-12
Author(s):  
S.A. Yeprintsev ◽  
O.V. Klepikov ◽  
S.V. Shekoyan
Keyword(s):  
Remote Sensing ◽  
Environmental Quality ◽  
Urban Areas ◽  
Satellite Images ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Space Images ◽  
The Earth ◽  
Voronezh Region

Introduction: Spatial zoning of an urban area by the level of anthropogenic burden using land-based research methods is very time-consuming. Since the end of the 20th century, the usage of the Earth remote sensing (ERS) techniques has served as their more efficient alternative. The study objectives included geoinformation zoning and evaluation of the level of technogenic changes in the areas according to NDVI (Normalized Difference Vegetation Index) values. Materials and methods: The cities of the Voronezh Region and their suburban ten-kilometer territories were chosen as the study objects. For the spatial analysis of the area of anthropogenically modified territories based on the example of the cities of the Voronezh Region we created an archive of multichannel satellite images taken by the Landsat-7 and Landsat-8 satellites. The data were borrowed from the Website of the US Geological Survey. Space images were grouped by two periods (the years of 2001 and 2016). Depending on NDVI values, territories with high and low anthropogenic burden, natural framework zones, and water bodies were distinguished. Results: We established that the smallest percentage of areas of the natural framework and their poor location was observed in the city of Voronezh. The largest area occupied by the natural framework was identified within the town of Borisoglebsk. This fact is attributed to the sensible policy of ensuring environmental and hygienic safety of the population implemented by the regional and municipal authorities. Discussion: At present, it is still impossible to fully use space monitoring data to assess health risks of technogenic factors; they can only be used simultaneously with ground monitoring that includes instrumental and laboratory monitoring of environmental quality indicators within the framework of the socio-hygienic monitoring. Conclusions: The analysis of changes in the proportion of areas with a high anthropogenic burden relative to the natural framework performed using satellite images taken in 2001 and 2016 showed an increase in the technogenic burden on the urban environment.

scholarly journals On the technology of creation of new technologies in the area of remote sensing of the Earth

2018 ◽  
pp. 4-9
Author(s):  
Mykhailo Popov
Keyword(s):  
Remote Sensing ◽  
Research And Development ◽  
New Technologies ◽  
Relevant Research ◽  
Methodological Basis ◽  
The Earth ◽  
Methodical Approach ◽  
Implementation Plans

The methodical approach to the phased elaboration of new technologies in the area of remote sensing of the Earth is outlined. A scheme for the phased elaboration of new technologies in remote sensing is suggested, the content and the most important aspects of the work at each stage are discussed. This approach is offered to use as a methodological basis at the forming specifications and the implementation plans of relevant research and development in the area of remote sensing.

scholarly journals Investigation of the basic Haar wavelet-transformations in the problem of decryption of space images on detection of waste disposal fields

2018 ◽  
Vol 30 ◽  
pp. 103-122
Author(s):  
Maretta Kazaryan ◽  
Mikhail Shahramanian ◽  
Svetoslav Zabunov
Keyword(s):  
Remote Sensing ◽  
Waste Disposal ◽  
Wavelet Transforms ◽  
Experimental Studies ◽  
Haar Wavelet ◽  
Wavelet Expansion ◽  
Two Dimensional ◽  
Space Images ◽  
The Earth ◽  
Wavelet Transformations

In this paper, we study the use of orthogonal transformations, namely, the basic Haar wavelet transforms, for data processing of the Earth remote sensing. The internal structure of orthogonal Haar transforms is considered. The Haar matrix is divided into blocks of the same type, so that parallelization of the computations is possible. The expediency of replacing the spectral components corresponding to the whole block (or several blocks) of the original matrix with zeros is asserted. Theoretical and experimental studies are carried out to improve the results of image classification (on the example of cluster analysis). The Haar wavelet expansion coefficients are used as indicators when decoding space images for the presence of waste disposal sites. The aim of this paper is to describe the approach, on the basis of which an optimal method is established on a class of vectors with real components, application of two-dimensional discrete Haar wavelet transformations in the problem of recognition of space images for the presence of waste disposal sites. General methodology of research. The paper uses elements of mathematical analysis, wavelet analysis, the theory of discrete orthogonal transformations, and methods for decoding cosmic images. Scientific novelty. Encoding by means of conversion is an indirect method, especially effective in processing of two-dimensional signals, in particular, space images used for remote sensing of the Earth. We propose the approach that takes into account the structure of the wavelet-Haar matrix, while recognizing waste disposal fields by means of space images. The article comprises the result of the experimental application of wavelet-Haar transformations for decoding of space images. We consider this case, both with and without the technique of taking into account the structure of the wavelet-Haar matrices.

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