1 citations · 2 across the 7 of their papers we have counts for
12 papers
From Wildfire Severity to Snow Persistence: A Multisource GeoAI Study of the 2020 Creek Fire
Parastoo Farajpoor, Mohammadreza Narimani
Accurate prediction of post-fire snow conditions does not necessarily establish how wildfire changed those conditions. We developed an explainable geospatial artificial intelligenc…
A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020-August 2026
Shreyan Mitra, Mohammadreza Narimani, Parastoo Farajpoor
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 2…
Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Exposure: The 2019 Kincade Fire
Parastoo Farajpoor, Mahla Ardebili Pour, Mohammad Bagher Ghiasi +1
Working agricultural landscapes are often treated as background to wildfire disasters, even though they are managed fuel mosaics, productive assets, and parts of regional infrastru…
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…
Explainable GeoAI for urban wildfire structure loss: vegetation and built environment in 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…
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Agricultural field maps are often proprietary, incomplete, or outdated, yet they provide the spatial framework for crop monitoring, production accounting, and land-conversion analy…
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…
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…
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…
Early Detection of Branched Broomrape (Phelipanche ramosa) Infestation in Tomato Crops Using Leaf Spectral Analysis and Machine Learning
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi +3
Branched broomrape (Phelipanche ramosa) is a chlorophyll-deficient parasitic weed that threatens tomato production by extracting nutrients from the host. We investigate early detec…
Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi +3
Branched broomrape (Phelipanche ramosa (L.) Pomel) is a chlorophyll-deficient parasitic plant that threatens tomato production by extracting nutrients from the host, with reported…
Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi +3
This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California's tomato industry, which supplies over 90 percent of U.S. processing tomatoes. T…