Sea level rise risk along Portugal’s coast is driven mainly by exposure
A parish-level assessment of mainland Portugal finds that exposure of buildings and residents, rather than flood hazard or social vulnerability, ...
A parish-level assessment of mainland Portugal finds that exposure of buildings and residents, rather than flood hazard or social vulnerability, ...
A new remote-sensing framework applied to the 2025 Dingri earthquake shows that landslide and liquefaction predictions depend on different combinations ...
A machine learning framework combining multi-temporal lidar and satellite data mapped post-fire debris flows across seven Oregon watersheds, with multi-temporal ...
Researchers in Switzerland have built an automated framework that turns weather station data, forecasts and snowpack simulations into daily probability ...
A machine learning study in Türkiye's Taslidere Catchment found that polygon-based landslide inventories improved susceptibility model performance far more than ...
A systematic review of 43 Caribbean adaptation studies finds that coastal resilience depends on coordinated planning, healthy ecosystems, engineered protections ...
A study of 1,518 landslides in Wanzhou found that machine-learning susceptibility maps with strong within-period accuracy often transferred less reliably ...
A study of 487 soil samples from China's Yellow River Basin finds that total nitrogen from fertilization is the strongest ...
A new study of 67 explosive events over 150 years at Stromboli quantifies the distances, directions, and areas affected by ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine