Machine Learning Maps Landslide Danger Along Tibet’s Vital Lhasa–Dingri Highway
A new random forest model with spatial cross-validation reveals that slope and topographic relief control landslide hazards along the Lhasa–Dingri ...
A new random forest model with spatial cross-validation reveals that slope and topographic relief control landslide hazards along the Lhasa–Dingri ...
A comprehensive review shows that artificial intelligence, from hyperspectral sensing and climate-driven forecasting to autonomous drones and ground robots, is ...
A new 1-kilometer grid-based screening framework links two decades of fine particulate pollution with satellite-derived water quality signals across the ...
A new dual-branch deep learning framework combining GAN-based super-resolution and transformer spectral modeling achieves over 99 percent accuracy classifying hyperspectral ...
University of Utah-led research shows satellite measurements of solar-induced fluorescence detected declining photosynthetic activity in Western U.S. forests two years ...
A 24-year satellite and machine learning study shows Bharatpur's heat island is expanding across the city rather than intensifying at ...
A feature-optimized machine learning framework using MODIS satellite data achieves highly accurate estimation of crop vegetation water stress in Egypt's ...
A comparative review finds that decades of built-up expansion have driven rising land surface temperatures in India's World Heritage Cities ...
Version 2.1.1 of the open-source YOLO-MOD plugin lets QGIS users run their own trained YOLO models, edit detections interactively, and ...
Researchers have developed CropFusionNet, an interpretable deep learning framework that forecasts wheat, barley, and maize yields across Germany with benchmark-beating ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine