AI and GIS Reveal Hidden Drivers of Pollution in Dhaka’s Turag River
Researchers combined statistics, machine learning, and GIS to predict water quality in Dhaka's heavily polluted Turag River with over 90 ...
Researchers combined statistics, machine learning, and GIS to predict water quality in Dhaka's heavily polluted Turag River with over 90 ...
A district-wide GIS and statistical assessment of Banaskantha, Gujarat, maps sharp spatial contrasts in soil salinity, organic carbon and nutrients ...
A neighborhood-level GIS study in Gaziantep, Türkiye, shows that parental stress, family conflict, housing damage, displacement, and bereavement—not refugee status ...
Researchers in China have developed a spatial framework that combines terrain-based environmental resistance modeling with socio-technical indicators to assess road ...
A comparative review finds that decades of built-up expansion have driven rising land surface temperatures in India's World Heritage Cities ...
A new study combining geospatial analysis, machine learning and trend analysis maps groundwater potential and vulnerability across Jalpaiguri district in ...
A new integrated risk-resilience framework reveals that more than a third of China's Yangtze River Delta faces high flood danger ...
A ten-year spatial analysis of Recife's civil defense records shows landslides cluster persistently in hillside neighborhoods of the city's northern ...
A 22-year Landsat analysis shows Jammu City's built-up area grew 75 percent while farmland and dense vegetation steadily vanished.
A new comparative study of the Sheringal–Kumrat Road in Upper Dir, Pakistan, shows a simple statistical index model outperforming expert-based ...
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© 2025 Scienmag - Science Magazine