GeoAI model maps landslide risk across central Nepal with 88.3% accuracy
A new GeoAI framework combining Google Earth Engine, ensemble machine learning, and SHAP explainability mapped landslide susceptibility across central Nepal ...
A new GeoAI framework combining Google Earth Engine, ensemble machine learning, and SHAP explainability mapped landslide susceptibility across central Nepal ...
A field survey of nine forest sites in India's Garhwal Himalaya shows Deodar conifer stands hold the most biomass carbon ...
A new plant species, Melanoseris zhufengensis, has been described from alpine slopes near Mount Qomolangma in Xizang, China, using morphology, ...
A study of seven Himalayan fruit orchards over 22 years old found apricot and walnut plantations sequestered the most soil ...
Researchers modified the TOBIA index to include wedge-failure geometry and mapped kinematic landslide susceptibility along an 80-kilometre stretch of NH-7 ...
A Sentinel-2 and Google Earth Engine study of Nepal's 2021 Melamchi debris flood found NDVI outperformed water indices for mapping ...
A WEAP modelling study of the glacier-fed Upper Jhelum Basin in Kashmir projects that cumulative unmet domestic water demand by ...
An expert-based AHP model in a GIS environment classifies nearly 30 percent of the NH 505 corridor in Himachal Pradesh ...
Machine learning models far outperformed expert-weighted AHP in mapping landslide susceptibility along a 123 km Himalayan highway corridor in Arunachal ...
Researchers optimized bench-scale pyrolysis of Himalayan pine needles, producing bio-oil and carbon-rich biochar at a 500-gram loading far larger than ...
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© 2025 Scienmag - Science Magazine