@ARTICLE{Chetverikov_Borys_Methodology_2022,
 author={Chetverikov, Borys and Trevoho, Ihor and Babiy, Lubov and Malanchuk, Mariia},
 volume={vol. 71},
 number={No 1},
 pages={e21},
 journal={Advances in Geodesy and Geoinformation},
 howpublished={online},
 year={2022},
 publisher={Commitee on Geodesy PAS},
 abstract={The object of the study is the processing of space images on the territory of the Carpathian territory in the Lviv region, obtained from the Landsat-8 satellite. The work aims to determine the area of deforestation in the Carpathian territory of the Lviv region from different time-space images obtained from the Landsat-8 satellite. Methods of cartography, photogrammetry, aerospace remote sensing of the Earth and GIS technology were used in the experimental research. The work was performed in Erdas Imagine software using the unsupervised image classification module and the DeltaCue difference detection module. The results of the work are classified as three images of Landsat-8 on the territory of the Carpathian territory in the Lviv region. The areas of forest cover for each of them for the period of 2016-2018 have been determined. During the three years, the area of forests has decreased by 14 hectares. Our proposed workflow includes six stages: analysis of input data, band composition of space images on the research territory, implementation of unsupervised classification in Erdas Imagine software and selection of forest class and determination of implementing this workflow, the vector layers of the forest cover of the Carpathians in the Lviv region for 2016, 2017, 2018 were obtained, and on their basis, the corresponding areas were calculated and compared.},
 type={Article},
 title={Methodology for determining deforestation areas in Lviv region using remote sensing data},
 URL={http://journals.pan.pl/Content/123723/PDF-MASTER/e21.pdf},
 doi={10.24425/gac.2022.141174},
 keywords={Landsat-8, remote sensing, space images, satellite monitoring system, logged area},
}