Hurricane Melissa Nears Jamaica As Caribbean Braces For Widespread Damage ...

SUPARCO Launches Pakistan’s First Hyperspectral Satellite To Strengthen Disaster Management ...

Fire intensity represents the energy that is released from organic matter during the combustion process (Keeley, 2009). It also refers to the intensity of the fire while it is active. Burn severity, ...

UN-SPIDER aims to bridge the gap between the various communities involved in using space-based information for disaster risk management and emergency response. These communities include satellite ...

A general term for temperature variations above (extreme heat) or below (extreme cold) normal conditions (IRDR Glossary). Since climate varies regionally, the definition of an extreme temperature and ...

UN-SPIDER has welcomed a new Regional Support Office at the United Nations University Institute for Water, Environment and Health (UNU-INWEH). The cooperation was formalised through a memorandum of ...

The 30th session of the United Nations Climate Change Conference (COP30) will take place in Belém, Brazil, from 10 to 21 November 2025. The event will also include the 20th session of the Conference ...

The Centre for Research on the Epidemiology of Disasters (CRED), together with the Université Catholique de Louvain (UCLouvain), and the United States Agency for International Development (USAID), ...

Spacecraft orbiting Earth play a vital role in monitoring climate change, enabling global communication and navigation, and advancing scientific research. However, many of these orbits are becoming ...

The Centre for Research on the Epidemiology of Disasters (CRED) has released its latest report titled "2023 Disasters in Numbers: A Significant Year of Disaster Impact", shedding light on the ...

Rwandans can now easily access land-use plans and other spatial data through the National Land Use Planning Portal (NLUPP). The portal, the first of its kind in Africa, has been established on Esri's ...

Geospatial Artificial Intelligence (GeoAI) — the convergence of satellite-derived data with modern machine-learning techniques—has become a decisive factor in global disaster-risk governance. In ...