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2024 I, I Upravljanje prirodnim uslovima i procesima, pp. 142-150
A possible application of multispectral analyzes for the protection of forest ecosystems in Fruska gora National Park
University of Belgrade, Faculty of Geography, Serbia

emailtijana.jakovljevic@gef.bg.ac.rs, snezana.djurdjic@gef.bg.ac.rs
Keywords: Fruska gora National Park; vegetation indices; NDVI; NDRE; NDMI; multispectral analysis
Abstract
Open satellite data enable a comprehensive multispectral analysis of vegetation worldwide. The importance of these analyzes is particularly emphasized in the area of large and impassable forests. Due to the vulnerability of forest ecosystems as a result of climate change, multispectral analysis will make a crucial contribution to proper forest management in the event of drought and to reducing the risk of forest fi res. In the Fruska gora National Park among more than 20 forest communities, there is a community of sessile oak and hornbeam with butcher's broom (Rusco-Querco-Carpinetum), as well as mountain beech forests with lime (Tilia-fagetum submontanum) of high value, and their protection should be a high priority, while multispectral analysis can improve their monitoring and support forest managers in decision-making. In this paper we use multispectral data collected by the Sentinel-2 satellite and downloaded from the Copernicus Data Space Ecosystem Service. NDVI - Normalized Difference Vegetation Index, NDRE - Normalized Differenece Red Edge Vegetation Index and NDMI - Normalized Difference Moisture Index of the Fruska gora National Park area are calculated in the open software Q-gis in 10 meter and 20 meter spatial resolution for specific days selected according to the degree of cloud cover at the time of satellite observations and other meteorological conditions. All three indices are based on the values of the red, red edge, shortwave infrared and infrared spectra. The values of the indices depend on the vegetation conditions. Higher values indicate better vegetation condition, lower values indicate drought, which could be the result of dry periods, pest and disease outbreaks or certain phenological events in certain seasons. Low values could also indicate deforestation or dieback due to forest fires. The main objective of this paper is to investigate the variability of vegetation indices as a consequence of precipitation and air temperature changes. The observation period extends from 2017 to 2022.

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article language: Serbian
document type: Review Paper
DOI: 10.5937/KonGef24016J
published in Portal: 26/09/2024
Creative Commons License 4.0

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