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Author

M. Gašparović

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Open access Oct 2026

Developing a Machine Learning Approach for Estimating Urban NO2 Concentrations Using Multi-Source Remote Sensing Data

Accurate estimation of air pollutants, particularly nitrogen dioxide (NO2), is essential for assessing air quality and supporting informed policy decisions. This study investigates the application of machine learning techniques to estimate ground-level NO2 concentrations in the city of Zagreb, employing two ensemble ma...

Marina Kukavica, M. Gašparović, G. Henebry · 0 citations
Open access Jul 2026

Automatic Estimation of Building Construction Year and Height from Earth Observation Data for Urban Risk Assessment

Abstract. Reliable urban risk assessment requires accurate and up-to-date information on building characteristics, particularly construction year and height, which are often incomplete or unavailable in existing databases. This study presents a cloud-based methodology for the automatic estimation of these parameters us...

M. Gašparović, Filip Radić, I. Gasparovic et al. · 0 citations

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