Кафедра екології
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/52
Переглянути
2 результатів
Результати пошуку
Item type:Наукова стаття, Spatial analysis of wildfire occurrence in the Emerald Network sites of Volyn and Zhytomyr Polissia (2012-2024)(2025) Fedoniuk, Mykola; Kovalchuk, Ivan; Fesyuk, Vasyl; Fedoniuk, Vitalina; Zhadko, OksanaThe paper analyzes the spatial and temporal distribution of wildfires over a 13-year period in 36 sites of the Emerald Network located within the Ukrainian Polissia region. Materials of remotely sensed data from MODIS satellites provided by the European Forest Fire Information System (EFFIS) were used. The number of hotspots in each of the Emerald Network sites was calculated, and the density of fires was determined both in individual sites and for the entire territory. The temporal distribution of wildfires occurrence was analyzed, and the years and seasons of the maximum and minimum number of fires were identified. The area of burned land was estimated. The Emerald Network sites were ranked according to the obtained quantitative indicators. The locations and types of ecosystems most and least affected by fires were identified. It was established that most of the studied Emerald Network sites are characterized by a lower frequency of wildfires occurrence compared to the average values for the region.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.