Author

Shreyan Mitra

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Preprint Aug 2026

From crown candidates to neighborhood screening: integrating optical GeoAI and spatial modeling for urban-canopy assessment in Davis, California

Timely urban-canopy information is essential for linking remote sensing with heat, mobility, and neighborhood planning. We developed an optical GeoAI workflow for Davis, California, using 2022 National Agriculture Imagery Program imagery (0.6 m RGB+NIR). DeepForest generated crown candidates; an NDVI threshold, non-max...

Mohammadreza Narimani, Shreyan Mitra, Parastoo Farajpoor · 5 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 · 1 citation