Кафедра екології
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/52
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Item type:Наукова стаття, Temperature Regime and Ice Cover Dynamics in the Coastal Regions of the Antarctic Peninsula(2022-10-05) Fedoniuk, Vitalina; Luhinina, Julia; Fedoniuk, Mykola; Ivantsiv, Vasyl; Bondarchuk, SerhijClimate change affects all regions around the world, but the ice covered areas are particularly vulnerable in this case. The Antarctic ice sheet is the largest single mass of ice on Earth. Melting of ice sheets is dangerous, as it can lead to flooding of low-lying coastal areas and other negative processes. In this study, we use remote sensing methods to analyze the changes in air temperature and its impact on the condition of the ice sheets in the coastal regions of the Antarctic Peninsula. Analysis of space images of the Antarctic Peninsula coast for the period 1985–2020 showed that the ice covered area shrinked, as a result, the length of the coastline expanded, and it became more winding. The length of the coastline has increased by 20–25%. Temperature analysis of the investigated area during 1985–2020 (according to the data provided by the Ukrainian Antarctic Akademik Vernadsky station) showed clearly that the average, maximum, and minimum air temperatures have been trending upwards. The average annual air temperature and the average minimum air temperature increased by 1–1.5 0C, the average maximum air temperature during this period increased by 3.30C. This is a sign that global climate change is also impacting the southernmost regions of Earth.Item type:Наукова стаття, Differences in the assessment of vegetation indexes in the EO-Browser and EOS landviewer services (on the example of Lutsk district lands)(2021-05-14) Fedoniuk, Mykola; Kovalchuk, Ivan; Fesyuk, Vasyl; Kirchuk, Ruslan; Merlenko, Igor; Bondarchuk, SerhiiThe paper considers the differences in the display of vegetation indices in the services EO-Browser and EOS LandViewer for selected key areas in the Lutsk district (Volyn Upland, NW Ukraine). A sample of satellite images with different cloud filters was evaluated for the period 2019-2020. The number of images acceptable for analysis in different months of the year is determined. The difference between the maximum, minimum and average NDVI values, which are calculated by both services, is determined. In most cases, smaller values are typical for calculated indexes by EOS LandViewer. Despite the significant difference in individual unit values (up to 30-50%), the averaged deviations were predominantly less than 10%. For plains with flat terrain, the difference between NDVI values for both services is much smaller than for areas with complex topography. The combined use of both services will create the most effective analysis of vegetation indexes. Effective analysis is possible by using the features identified in this study.