Data and information management

The authors summarise a major new open-access contribution to disaster risk reduction in mountain regions, i.e., 'HiFlo-DAT' (Himalayan Flood Database for Disaster Risk Reduction), which focusses on the Kullu District, Himachal Pradesh, India.

A research scientist found that many 1970s-era models were ‘pretty much spot-on.’ Today’s models are far more advanced.

The potential of unmanned aircraft to efficiently and safely measure soil gas emissions in potentially risky areas is being proven the field of volcanology.

This study applies a nonparametric multivariate standardized drought index (MSDI) that integrates meteorological and hydrological drought to investigate the dynamics of drought events within the Seyhan River Basin (SRB).

The National Civil Protection Platform of Bahrain, spearheaded by the Ministry of Interior, was launched as a key national initiative to strengthen disaster preparedness and public safety.

The renewed Sava Forecasting and Warning System will not only ensure insight into flood risks but also provide the region with important information during hydrological droughts particularly relevant to the inland navigation along the Sava River basin.

Damage surveys provide crucial information about when, where and how strong U.S. tornadoes are to better understand disaster risk

Scientists have developed a new tool for improved wildfire prediction using machine learning (ML). The collection and integration of higher-quality data can significantly improve the accuracy and reliability of wildfire predictions.