Neighborhood building density emerges as strongest predictor of home destruction in 2025 Palisades Fire
A spatially validated GeoAI analysis of 12,081 damage inspections from the 2025 Palisades Fire finds neighborhood building density was the ...
A spatially validated GeoAI analysis of 12,081 damage inspections from the 2025 Palisades Fire finds neighborhood building density was the ...
A new study finds that the choice of rainfall spatial interpolation method can alter simulated urban flood depths by more ...
Researchers combined positive-unlabeled learning, spatial block cross-validation, bootstrap uncertainty, and conformal calibration to produce a confidence-aware nickel prospectivity map of ...
A rigorous spatial machine learning analysis of 571 landslides triggered by Norway's 2023 storm Hans shows that soil indicators and ...
A new reanalysis of post-spill Gulf of Mexico sediments shows that Deepwater Horizon's effects on deep-sea meiofauna depended as much ...
A new study of Bangladesh's 2024 Feni flash flood shows that standard flood-susceptibility machine learning inflates accuracy through spatial leakage ...
A self-supervised Vision Transformer framework that fuses multi-scale geological maps with aeromagnetic data has substantially outperformed conventional methods in mapping ...
A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...
A new random forest model with spatial cross-validation reveals that slope and topographic relief control landslide hazards along the Lhasa–Dingri ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine