Recognizing the usefulness of early warning systems, the United Nations has been operating early warning systems and advocating for their implementation and/or improvement for several decades. It has ...

The Sendai Framework for Disaster Risk Reduction was developed to guide efforts on disaster risk reduction in the period between 2015 and 2030. The framework was adopted during the Third World ...

A powerful earthquake off Russia’s Kamchatka Peninsula in July 2025 has provided scientists with new observations of how tsunamis form near their source. Using data from a new generation satellite, ...

Satellite-derived data relevant for disaster risk reduction and emergency response is available from many sources and providers. The UN-SPIDER database on satellite data and products offers links to ...

SPARRSO was established in 1980 as an autonomous organisation of the Government of the People's Republic of Bangladesh. It keeps close collaboration with national, regional and international ...

The aim of this step-by-step procedure is to create a standardized precipitation index (SPI) timeline based on daily CHIRPS data. The SPI is used as it highlights the difference to the mean ...

Since its creation, UN-SPIDER's data base on satellite data and products has gathered links and information to more than 250 data sources related to space-based disaster risk reduction and emergency ...

From 23–25 June 2026, UN-SPIDER participated in the Satellites for Peace: An Idea Whose Time Has Come conference at the Pontifical Academy of Social Sciences in Vatican City. Bringing together ...

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 ...

The United Nations University with its Institute for Environmental and Human Security (UNU-EHS) published the Interconnected Disaster Risks Report 2023. The report paints a bleak picture of a world ...

The Earth Science Applications Guidebook, created by the NASA Applied Science program, is a collection of best practices and lessons learned on the use of Earth science information for decision-making ...

The WARM project by Marple GmbH demonstrates how freely available satellite data and machine learning can track flood, drought, and pollution events in real time, with implications for water managers ...