Analiza stanja rastlinstva na Krasu po požaru leta 2022 s pomočjo daljinskega zaznavanja

Kosi, Larisa (avtor), Repe, Blaž (mentor)

Diplomsko delo obravnava spremembe rastlinskega pokrova na Goriškem Krasu po največjem gozdnem požaru v sodobni zgodovini Slovenije, ki je to območje prizadel julija 2022. Požar je zajel več kot 3.700 ha površin. Namen raziskave je bil s pomočjo daljinskega zaznavanja analizirati dinamiko obnavljanja rastlinskega pokrova. V ta namen smo uporabili satelitske posnetke Sentinel-2 za različne časovne preseke pred in po požaru in na njihovi podlagi izračunali vegetacijske (NDVI, MSAVI) in požarne indekse (NBR) ter primerjali njihove vrednosti na območjih z različno poškodovanostjo rastlinskega pokrova. Rezultati naših analiz kažejo na prostorsko različno obnovo rastlinstva, pogojeno z razlikami v začetni poškodovanosti in mehanizmi obnavljanja. Jasno so razvidne razlike med pogozdenimi površinami in obočji, kjer je potekala naravna sukcesija. Daljinsko zaznavanje omogoča učinkovito spremljanje obnavljanja rastlinstva po požaru ter identifikacijo območij, ki se bolj ali manj uspešno obnavljajo. Priporočila za nadaljnje raziskave vključujejo nadaljnji monitoring obnavljanja rastlinstva v daljšem časovnem obdobju, preverjanje rezultatov s terenskim delom, ter dodatne raziskave o vplivu, širjenju in uspešnosti ukrepov zmanjšanja prisotnosti invazivnih tujerodnih vrst rastlin.

• Jezik: Slovenski jezik
• Ključne besede: Goriški Kras, gozdni požari, daljinsko zaznavanje, vegetacijski indeksi, obnavljanje rastlinstva
• Vrsta gradiva: Diplomsko delo/naloga
• Organizacija: FF - Filozofska fakulteta
• Leto izida: 2025
• PID: 20.500.12556/RUL-173560
• Datum objave v RUL: 18.09.2025

Sekundarni jezik

• Jezik: Angleški jezik
• Naslov: Analysing the vegetation conditions on the Karst plateau after the fire of 2022 using remote sensing

Izvleček

The thesis analyses the dynamics of vegetation in the Goriški Kras region after the largest forest fire in the history of Slovenia, which occurred in July 2022. The forest fire affected more than 3,700 ha of land. The objective was to assess the recovery of vegetation using remote sensing techniques. We used Sentinel-2 satellite images for different time periods before and after the fire and calculated vegetation (NDVI, MSAVI) and fire indices (NBR) based on this. We then compared their values in areas with different degrees of vegetation cover. The analysis was carried out at the level of the entire fire site and on selected sample plots. The results of our analyses show that vegetation recovers spatially differently due to differences in initial damage and recovery mechanisms. There are clear differences between reforested areas and areas where natural succession has taken place. Remote sensing allows effective monitoring of post-fire vegetation recovery and identification of areas that are recovering more or less successfully. Recommendations for further research include continued monitoring of vegetation recovery over a long period of time, verification of results through field work and additional research on the impact, spread and effectiveness of preventative measures to reduce the presence of invasive alien plant species.

• Ključne besede: Goriški Kras, wildfire, remote sensing, vegetation indices, vegetation regeneration