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USE OF SATELLITE IMAGES IN MONITORING PROCESSES

Roxana Claudia Herbei, Simona Cucailă, Mihai Valentin Herbei, Adrian Şmuleac, Cosmin Dragomir

First published: 2025-08-15https://doi.org/10.5593/sgem2025/2.1/s09.22View metrics

Abstract

The use of remote sensing images in territorial analyses is increasingly used with the development of remote sensing systems. Due to the fact that there are numerous remote sensing systems, both open source and paid, these instruments are widely used in monitoring large areas in order to analyze the dynamics of land use changes. In the present study, an analysis of the ATU Moravita, Timis County, Romania, was carried out based on remote sensing images taken from the Landsat 8 satellite system. Based on the 11 spectral bands of this system, various combinations of spectral bands were created that are useful in the territorial analysis of the studied area. Thus, the combinations of spectral bands 431, 543, 652, 762 were realized and analyzed. The combination 431 can identify vegetation, as band 4 is receptive to chlorophyll in plants, band 3 determines the health of vegetation, and band 1 detects pollutants in the atmosphere. The 543 combination is useful in vegetation analysis, facilitating the identification and differentiation of healthy vegetation from bare land. In terms of water, it can detect changes in water levels and pollution found in it. The 652 combination of spectral bands is necessary for identifying the state of vegetation, reflecting a sufficiently clear contrast between healthy and affected vegetation. The 762 combination is useful for identifying changes in vegetation health and for assessing environmental impact by providing necessary information about plant development.

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  • CrossRef - Citation Indexes: 1
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Dimensions ID: pub.1195348455

Publication details

Title
USE OF SATELLITE IMAGES IN MONITORING PROCESSES
Authors
Roxana Claudia Herbei, Simona Cucailă, Mihai Valentin Herbei, Adrian Şmuleac, Cosmin Dragomir
Proceedings
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Geoinformatics, Remote Sensing, and Artificial Intelligence (AI), Vol 25, Issue 2.1
Publisher
STEF92 Technology
Year
2025
Pages
191-198
SWS Citekey
Herbei20259191198
ISSN
1314-2704; 13142704
ISBN
9786197603897
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References13
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Number of times cited according to Crossref: 1

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