Machine Learning Maps Hidden Climbing Paradise in Morocco’s Atlas Mountains
Researchers used logistic regression and support vector machine models to map potential mountain climbing sites across Morocco's Eastern High Atlas, ...
Researchers used logistic regression and support vector machine models to map potential mountain climbing sites across Morocco's Eastern High Atlas, ...
Geomorphologists and historians have reconstructed the lost artificial Lake Lorsch, showing that sediments, channels and elevation data still record 500 ...
A GIS and Analytic Hierarchy Process study of Pozhuthana Grama Panchayath in Kerala's Wayanad district has produced a flood hazard ...
A GIS and analytical hierarchy process study of Ilorin, Nigeria, has mapped flood susceptibility across the entire metropolis and found ...
Researchers in Nigeria combined satellite data with a structured expert-weighting method to map flood susceptibility across Makurdi, finding that over ...
Researchers in northern Iran combined satellite-derived terrain attributes with a support vector machine and factor analysis to map soil quality, ...
A physics-based erosion model applied to a sandy southern Brazilian watershed reveals that subsurface processes, not surface runoff, drive the ...
A 43-year wave hindcast and high-resolution modelling reveal abrupt exposure transitions along the urbanised Camogli coast in northwestern Italy.
The first complete morphometric survey of the Pabbar River Basin shows a Himalayan watershed in delicate geomorphic equilibrium, with low ...
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© 2025 Scienmag - Science Magazine