Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine)
Aim of the study: The main purpose of the study is the analysis and assessment of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) based on a combination of remote sensing methods and GIS mapping Material and methods: Usage of geoinformatics methods for mapping anthropogenical...
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Format: | Article |
Language: | English |
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University of Agriculture in Krakow
2022-07-01
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Series: | Acta Scientiarum Polonorum. Formatio Circumiectus |
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Online Access: | http://acta.urk.edu.pl/pdf-149824-77551?filename=Geoinformation%20mapping%20of.pdf |
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author | Vadym Belenok Liliia Hebryn-Baidy Nataliia Bielousova Halyna Zavarika Oksana Sakal Andriy Kovalenko |
author_facet | Vadym Belenok Liliia Hebryn-Baidy Nataliia Bielousova Halyna Zavarika Oksana Sakal Andriy Kovalenko |
author_sort | Vadym Belenok |
collection | DOAJ |
description | Aim of the study:
The main purpose of the study is the analysis and assessment of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) based on a combination of remote sensing methods and GIS mapping
Material and methods:
Usage of geoinformatics methods for mapping anthropogenically transformed landscapes of Bila Tserkva is studied. The data was downloaded and processed using the Semi-Automatic Classification Plugin QGIS for the supervised classification of remote sensing data. Satellite images were radiometrically calibrated and atmospherically corrected, followed by a controlled classification with signature creation, visualization of spectral profiles, quality assessment and post-processing
Results and conclusions:
The main methods of landscape research are analyzed. The conclusion is made about the expediency of using spectrophotometry of satellite images in order to identify different types of landscapes based on satellite data. An supervised classification of satellite images different-time images was performed, as a result of which the main Bila Tserkva landscape types were identified. Those identified types are: water bodies, vegetation (grass, forest, parks) urban areas and bare soils. Spatio-temporal changes of landscapes are studied and these changes are described in quantitative indicators
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format | Article |
id | doaj-art-6ccfe76c2dac4e0fa67c5348565abfb3 |
institution | Kabale University |
issn | 1644-0765 |
language | English |
publishDate | 2022-07-01 |
publisher | University of Agriculture in Krakow |
record_format | Article |
series | Acta Scientiarum Polonorum. Formatio Circumiectus |
spelling | doaj-art-6ccfe76c2dac4e0fa67c5348565abfb32025-01-02T22:03:15ZengUniversity of Agriculture in KrakowActa Scientiarum Polonorum. Formatio Circumiectus1644-07652022-07-01211698410.15576/ASP.FC/2022.21.1.69Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine)Vadym Belenok0Liliia Hebryn-Baidy1Nataliia Bielousova2Halyna Zavarika3Oksana Sakal4Andriy Kovalenko5Department of Aerospace Geodesy and Land Management, National Aviation University, 1 Liubomyra Huzara Ave, KievDepartment of Aerospace Geodesy and Land Management, National Aviation University, 1 Liubomyra Huzara Ave, KievDepartment of Aerospace Geodesy and Land Management, National Aviation University, 1 Liubomyra Huzara Ave, KievInternational Economics and Tourism Department, Volodymyr Dahl East Ukrainian National UniversityPublic Institution “Institute of Environmental Economics and Sustainable Development of the National Academy of Sciences of Ukraine”Public Institution “Institute of Environmental Economics and Sustainable Development of the National Academy of Sciences of Ukraine”Aim of the study: The main purpose of the study is the analysis and assessment of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) based on a combination of remote sensing methods and GIS mapping Material and methods: Usage of geoinformatics methods for mapping anthropogenically transformed landscapes of Bila Tserkva is studied. The data was downloaded and processed using the Semi-Automatic Classification Plugin QGIS for the supervised classification of remote sensing data. Satellite images were radiometrically calibrated and atmospherically corrected, followed by a controlled classification with signature creation, visualization of spectral profiles, quality assessment and post-processing Results and conclusions: The main methods of landscape research are analyzed. The conclusion is made about the expediency of using spectrophotometry of satellite images in order to identify different types of landscapes based on satellite data. An supervised classification of satellite images different-time images was performed, as a result of which the main Bila Tserkva landscape types were identified. Those identified types are: water bodies, vegetation (grass, forest, parks) urban areas and bare soils. Spatio-temporal changes of landscapes are studied and these changes are described in quantitative indicators http://acta.urk.edu.pl/pdf-149824-77551?filename=Geoinformation%20mapping%20of.pdfsentinel 2aremote sensinggeoinformatics methodslandsat 5 |
spellingShingle | Vadym Belenok Liliia Hebryn-Baidy Nataliia Bielousova Halyna Zavarika Oksana Sakal Andriy Kovalenko Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) Acta Scientiarum Polonorum. Formatio Circumiectus sentinel 2a remote sensing geoinformatics methods landsat 5 |
title | Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) |
title_full | Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) |
title_fullStr | Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) |
title_full_unstemmed | Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) |
title_short | Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine) |
title_sort | geoinformation mapping of anthropogenically transformed landscapes of bila tserkva ukraine |
topic | sentinel 2a remote sensing geoinformatics methods landsat 5 |
url | http://acta.urk.edu.pl/pdf-149824-77551?filename=Geoinformation%20mapping%20of.pdf |
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