Using data to reduce subjectivity in landslide susceptibility mapping

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

Turning Data Into Decisions: How the School of Sciences at JAIN (Deemed-to-be University) Is Powering the Next Generation of Data Science Leaders

In today’s digital-first world, data is not just information—it is insight, strategy, and competitive advantage. From ...
Columbia University School of Professional Studies

Mapping the Biodiversity Crisis: How Geospatial Data Analysis Is Powering Conservation

From wildlife movement research to fire ecology, M.S. in Biodiversity Data Analytics lecturer Jay M. Schoen explains how ...
Frontiers

Advances in Geoinformatics and AI for Dynamic Earth System Monitoring

Geoinformatics has become a transformative field in Earth science and GIScience, fueled by rapid advancements in Earth observation, remote sensing, GIS ...

Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...