AI and River Geometry Reveal Hidden Flood Hotspots in Nigeria’s Niger Delta
Researchers fused morphometric basin analysis with machine learning to map flood susceptibility across four Bayelsa State catchments, revealing hidden high-risk ...
Researchers fused morphometric basin analysis with machine learning to map flood susceptibility across four Bayelsa State catchments, revealing hidden high-risk ...
Researchers have built and validated a Fire Susceptibility Index for Morocco's Lower Ziz Valley oases, showing that 42.7 percent of ...
A new satellite-based method using GRACE-constrained GLDAS-CLSM data provides the first globally consistent estimate of groundwater recharge, totaling about 16,081.5 ...
Researchers used Sentinel-2 satellite imagery and machine learning to detect and track persistent water hyacinth infestations in lakes across five ...
A decade of satellite analysis shows informal settlements in Nairobi, Kampala and Dar es Salaam warming rapidly, with building density ...
Satellite-based tree canopy data and millions of geotagged social media posts across more than 400 Brazilian cities reveal that each ...
Slovak researchers used high-resolution drone imagery and an interpretable AI algorithm to map Natura 2000 peatland habitats with 94 percent ...
New high-resolution biomass change maps show that Central African tropical forests are experiencing net carbon losses, challenging assumptions about the ...
A new narrative review maps how artificial intelligence, drones, DNA phenotyping and blockchain could transform disaster victim identification while raising ...
Researchers in Japan combined Sentinel-2 satellite imagery with mobile phone location data across 440 Osaka railway station areas, finding that ...
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© 2025 Scienmag - Science Magazine