EN PL
RESEARCH PAPER
Geoinformation mapping of anthropogenically transformed landscapes of Bila Tserkva (Ukraine)
 
More details
Hide details
1
Department of Aerospace Geodesy and Land Management, National Aviation University, 1 Liubomyra Huzara Ave, Kiev, 03058, Ukraine, e-mail: liliya.gebrinbaydi@gmail.com
 
2
International Economics and Tourism Department, Volodymyr Dahl East Ukrainian National University, 43 Donetska St., Severodonetsk, 93406, Ukraine
 
3
Public Institution “Institute of Environmental Economics and Sustainable Development of the National Academy of Sciences of Ukraine”, 60, blvd. Tarasa Shevchenka, Kyiv, Ukraine, 01032
 
 
Submission date: 2022-01-28
 
 
Final revision date: 2022-05-04
 
 
Acceptance date: 2022-05-05
 
 
Publication date: 2022-07-19
 
 
Corresponding author
Liliia Hebryn-Baidy   

Department of Aerospace Geodesy and Land Management, National Aviation University, 1 Liubomyra Huzara Ave, Kiev, 03058, Ukraine, e-mail: liliya.gebrinbaydi@gmail.com
 
 
Acta Sci. Pol. Formatio Circumiectus 2022;21(1):69-84
 
HIGHLIGHTS
  • Land use, land cover, satellite images, GIS, Semi-Automatic Classification Plugin
KEYWORDS
TOPICS
ABSTRACT
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

ISSN:1644-0765
Journals System - logo
Scroll to top