Author

Mohammadreza Narimani

2 papers indexed here

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Preprint Aug 2026

The spatial anatomy of urban wildfire vulnerability: a spatially validated GeoAI framework reveals the roles of building density and vegetation moisture in structure loss during the 2025 Palisades Fire

Urban wildfire resilience depends on interactions among built form, vegetation condition, and extreme fire weather, yet city-scale risk models often overlook whether predictive skill transfers across neighborhoods. We developed a spatially validated GeoAI workflow for the January 2025 Palisades Fire, linking 12,081 CAL...

Parastoo Farajpoor, Mohammadreza Narimani · 2 citations

#machine learning Review Sep 2026

A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires

This article describes an open image dataset for developing and evaluating active-fire segmentation methods in satellite imagery. The dataset contains 2,148 image-mask pairs from 25 California wildfires, with acquisitions spanning July 2020 to August 2026. Each image is a 512x512-pixel, three-channel composite derived...

Shreyan Mitra, Mohammadreza Narimani, Parastoo Farajpoor · 0 citations