Author

Kasra Shamsaei

2 papers indexed here

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Open access Oct 2026

Near-Real-Time Wildfire Segmentation and Brightness Temperature Estimation from Geostationary Satellite Imagery Using Deep Learning

A two-step deep learning approach is introduced that statistically infers VIIRS-like sub-pixel fire segmentation and brightness temperature (BT) from GOES imagery and reduces the fire region BT root mean square error.

Ryota Yagi, Mukul Badhan, M. Bavandpour et al. · Fire · 0 citations

#artificial intelligence Preprint Sep 2026

PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States

Wildfires are an increasing hazard to ecosystems, air quality, and human systems, creating a growing need for datasets that support systematic development and evaluation of models for predicting fire spread across diverse landscapes. Effective prediction requires integrating meteorological conditions, fuels, vegetation...

Arya Kondur, Giosue Migliorini, Cameron Schmitt et al. · 0 citations