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LONG-TERM VEGETATION DYNAMICS IN THE SPACVAN BASIN (1984-2023): REMOTE SENSING INSIGHTS INTO CLIMATIC IMPACTS AND EXTREME WEATHER EVENTS

Mateo Gašparović, Ivana Metic, Radan Vujnovic

First published: 2024-12-15https://doi.org/10.5593/sgem2024v/4.2/s19.43View metrics

Abstract

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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Publication details

Title
LONG-TERM VEGETATION DYNAMICS IN THE SPACVAN BASIN (1984-2023): REMOTE SENSING INSIGHTS INTO CLIMATIC IMPACTS AND EXTREME WEATHER EVENTS
Authors
Mateo Gašparović, Ivana Metic, Radan Vujnovic
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Energy and Clean Technologies, Vol 24, Issue 4.2
Publisher
STEF92 Technology
Year
2024
Pages
301-308
SWS Citekey
Gasparovic202426301308
ISSN
1314-2704; 13142704
ISBN
9786197603774
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
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