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Author

Stefano Grigolato

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2 papers indexed here

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Open access Aug 2026

How much data is enough? Sensor choice, scale, and point-density effects on terrain metrics in steep mountain forests

ABSTRACT Accurate digital terrain models (DTMs) are essential for terrain analysis and planning in steep forest environments, yet their reliability depends on sensor type, ground-point density, and spatial resolution. This study assesses how the sensor type (airborne laser scanning (ALS), unmanned aerial vehicle LiDAR...

Gunta Grube, Bruce Talbot, Stefano Grigolato · 0 citations
Open access Sep 2026

Combining Climate Datasets for Temperature Mapping

Accurate temperature information is essential for climate assessment, environmental modelling, and hydrological analysis; however, mountainous regions with sparse meteorological networks often lack spatially continuous observations. This study aims to identify a suitable interpolation method for observed temperature da...

Gizem Mısırlıoğlu, Selcuk Gumus, Stefano Grigolato · 0 citations

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