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GEOMODELING AND MONITORING OF POLLUTION OF WATERS AND SOILS BY THE EARTH REMOTE SENSING

Oleksandr Trofymchuk

First published: 2019-12-05https://doi.org/10.5593/sgem2019v/1.4/s02.025View metrics

Abstract

The paper presents the results of scientific research in the field of environmental protection, proposed an approach to monitoring the ecological status of soils and surface waters, and considers the assimilation potential. The purpose of the work is to determine the dynamics of the growing impact of natural and man-made loads on the environment and increase the efficiency of environmental organizations. ArcGIS GIS software and ERDAS remote sensing software were used to translate data into thematic maps. ArcGIS's Geostatistical Analyst module was used to interpolate environmental pollution data and calculate interpolation accuracy. The methodology used is based on the interpretation of remote sensing images and other data (statistical and thematic data). The source data from all of the above sources were translated into thematic maps by methods of interpretation, classification, manipulation, integration, editing and analysis. On the basis of cartographic information systems, thematic maps were created to evaluate the parameters of natural and man-made objects for individual regions of Ukraine. This study aims to improve environmental management through GIS data collection and management. The use of Earth remote sensing data from space for environmental management and impact studies is a useful source of accurate and advanced information.

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  • CrossRef - Citation Indexes: 9
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Publication details

Title
GEOMODELING AND MONITORING OF POLLUTION OF WATERS AND SOILS BY THE EARTH REMOTE SENSING
Authors
Oleksandr Trofymchuk
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings19th, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2019
Pages
197-204
SWS Citekey
Trofymchuk20192197204
ISSN
1314-2704
ISBN
978-619-7408-97-3
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 8

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