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LONG-TERM VEGETATION DYNAMICS IN THE SPACVAN BASIN (1984-2023): REMOTE SENSING INSIGHTS INTO CLIMATIC IMPACTS AND EXTREME WEATHER EVENTS
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Mateo Gasparovic; Ivana Metic; Radan Vujnovic
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10.5593/sgem2024v/4.2
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1314-2704
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English
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24
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4.2
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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This research focuses on the long-term assessment of vegetation quality dynamics in the Spacvan Basin from 1984 to 2023. The objective is to evaluate how specific climatic factors influence vegetation health. The study employed remote sensing techniques, analyzing satellite images from the LANDSAT and Sentinel missions. The Spacvan Basin, covering 43,519 ha, served as the area of interest. Data collection, processing, and analysis were conducted using the Google Earth Engine platform. NDVI values were measured over the period from 1984 to 2023, revealing an overall increase in the index despite notable climate parameters. NDVI data for six years from 2018 to 2023 allowed the estimation of the start and end of the phenological cycle, which were then compared with results derived from an algorithm designed for this purpose. The phenological cycle was found to vary by an average of one month, with a two-month variation observed in 2023. The results indicate that rising temperatures and declining precipitation affect the phenological cycle, though these effects are generally short-lived.
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conference
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
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24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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301-308
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27 - 30 November, 2024
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website
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10131
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climate change, forest, remote sensing, spatio-temporal analysis, vegetation
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