collaborators

9 papers

physics.geo-ph2026

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

Parastoo Farajpoor, Mohammadreza Narimani

Urban wildfire resilience depends on interactions among built form, vegetation condition, and extreme fire weather, yet city-scale risk models often overlook whether predictive ski…

eess.IV2026

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

Mohammadreza Narimani, Shreyan Mitra, Parastoo Farajpoor

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…

cs.CV2026

Farmland Extent and Visible Boundary Mapping from 1 m NAIP Imagery Using Residual U-Net and Text-Prompted SAM 3 Refinement

Mohammadreza Narimani, Vikram Anand, Parastoo Farajpoor

Agricultural field maps are often proprietary, incomplete, or outdated, yet they provide the spatial framework for crop monitoring, production accounting, and land-conversion analy…

cs.LG2026

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks

Parastoo Farajpoor, Alireza Pourreza, Mohammadreza Narimani +2

Accurate modeling of leaf spectral reflectance from physiological and biochemical traits is essential for advancing remote sensing applications in plant science and precision agric…

eess.IV2026

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis

Mohammadreza Narimani, Alireza Pourreza, Parastoo Farajpoor

Field-scale crop maps support supply-chain forecasting and policy, yet statewide crop identification still often depends on retrospective surveys or remote-sensing workflows built…

eess.IV2026

Sentinel-2 for Crop Yield Estimation: A Systematic Review

Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi +1

Accurate and timely crop yield estimation is critical for global food security, agricultural policy, and farm management. The Copernicus Sentinel-2 satellite constellation, with hi…