Neural Networks Learn to Sketch Tomorrow’s Coastline From Decades of Landsat Views
Researchers in northeastern Brazil combined a CNN–LSTM deep-learning architecture with decades of Landsat imagery to forecast MNDWI-derived coastal states in ...
Researchers in northeastern Brazil combined a CNN–LSTM deep-learning architecture with decades of Landsat imagery to forecast MNDWI-derived coastal states in ...
An editorial reviewing five coastal-monitoring studies finds that sonar, satellite imagery, artificial intelligence, risk mapping and economic modelling become decision-ready ...
A six-year study of tarballs from the Eastern Arabian Sea finds that floating petroleum residues carry higher concentrations and carcinogenic ...
A new harmonization-based super-resolution workflow shows that cross-sensor radiometric calibration, not network architecture, is the largest contributor to sharpening free ...
A year-long study on three Brazilian beaches shows that season, beach morphodynamics, and dune vegetation strongly shape ghost crab populations, ...
Two smartphone cradles on Mexico's Sisal Pier let tourists and residents generate survey-grade shoreline data, hurricane impact records, beach crowd ...
A twelve-year analysis of Portuguese mussel monitoring data shows that marine biotoxins, not metals or bacteria, are the dominant safety ...
Researchers in Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal ...
The first environmental assessment of Sakhalin Island's Lososey Bay finds no acute pollution, with elevated copper and zinc traced to ...
A new study shows that Sentinel-2 satellite NDVI can estimate mangrove aboveground biomass and carbon stocks in Indonesia's Pangpang Bay, ...
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© 2025 Scienmag - Science Magazine