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Velibor Ilić

3 papers indexed

crossrefEarth2026-07-13

Wildfire Susceptibility Mapping in China Combining Machine Learning, Deep Learning, and Transformer-Based Models

Uroš Durlević, Velibor Ilić, Milan M. Radovanović, Ana Milanović Pešić, Marko D. Petrović, Milan Milenković, et al.

Long-term wildfire susceptibility mapping represents a significant component of disaster prevention and the protection of human communities, public health, and local ecosystems. In this study, a wildfire inventory was developed through multi-sensor fusion of satellite data (MODIS…

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crossrefAI2026-01-09Cited by 2

Wildfire Probability Mapping in Southeastern Europe Using Deep Learning and Machine Learning Models Based on Open Satellite Data

Uroš Durlević, Velibor Ilić, Bojana Aleksova

Wildfires, which encompass all fires that occur outside urban areas, represent one of the most frequent forms of natural disaster worldwide. This study presents the wildfire occurrence across the territory of Southeastern Europe, covering an area of 800,000 km2 (Greece, Romania,…

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crossrefFire2025-10-20Cited by 20

Wildfire Susceptibility Mapping Using Deep Learning and Machine Learning Models Based on Multi-Sensor Satellite Data Fusion: A Case Study of Serbia

Uroš Durlević, Velibor Ilić, Aleksandar Valjarević

To prevent or mitigate the negative impact of fires, spatial prediction maps of wildfires are created to identify susceptible locations and key factors that influence the occurrence of fires. This study uses artificial intelligence models, specifically machine learning (XGBoost)…

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