Please use this identifier to cite or link to this item: https://evnuir.vnu.edu.ua/handle/123456789/25287
Title: Remote sensing monitoring of changes in forest cover in the Volyn region: a cross section for the first two decades of the 21st century
Authors: Uhl, Anna
Melnyk, Oleksandr
Melnyk, Yuliia
Manko, Pavlo
Brunn, Ansgar
Fesyuk, Vasyl O.
Bibliographic description (Ukraine): Uhl A., Melnyk, O., Melnyk, Y., Manko, P., Brunn, A., & Fesyuk, V. (2024). Remote sensing monitoring of changes in forest cover in the Volyn region: a cross section for the first two decades of the 21st century. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (60), 272-283. DOI : https://doi.org/10.26565/2410-7360-2024-60-19
Issue Date: 20-Nov-2024
Date of entry: 20-Nov-2024
Publisher: Харківський національний університет імені В. Н. Каразіна
Country (code): UA
DOI: https://doi.org/10.26565/2410-7360-2024-60-19
UDC: 528.7,528.8
Keywords: forest dynamics
remote sensing
Google Earth Engine
machine learning
CART algorithm
forest cover loss
accuracy assessment
Landsat 7
Abstract: The aim of the article. This article highlights the significance of forest cover as an important indicator of the state of the environment. It discusses the findings of the Food and Agriculture Organization of the United Nations (FAO) Forest Resources Assessment (FRA) 2020 report, which states that the world's forest area has decreased by 178 million hectares since 1990. The case study of Volyn region shows how cloud processing and vegetation classification can help quantify forest dynamics from 2000 to 2020, allowing local authorities and decision makers to monitor and analyze trends in near real time. Overall, this work provides insights into the importance of monitoring forest dynamics and the potential for remote sensing technology to facilitate this process.
URI: https://evnuir.vnu.edu.ua/handle/123456789/25287
Content type: Article
Appears in Collections:Наукові роботи (FGEO)

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