Digital Twins and Earth Observation: UN-SPIDER and ZFL Present Flood Mapping Innovations at LPS 2025 ...

LPS brought together thousands of Earth observation scientists, policymakers, and industry leaders to explore how satellite ...

Digital Twins and Earth Observation: UN-SPIDER and ZFL hold presentation on Mapping for Disaster Risk Management at LPS 2025 ...

CommonSpace Initiative - Digital Twin In Ghana and Trinidad and Tobago ...

Recommended Practice: Flood Mapping Practice Using Sentinel-1 and Sentinel-2 ImageryUN-SPIDER has published a new Recommended Practice that leverages both Sentinel-1 Synthetic Aperture Radar (SAR) and ...

UN-SPIDER has released a new Recommended Practice that improves flood mapping by integrating Synthetic Aperture Radar (SAR) imagery with Digital Terrain Models (DTMs), offering a more accurate and ...

ESA's key 2025 takeaways Earth’s orbital environment is a finite resource. Satellites that remain in their operational orbit at the end of their mission are at risk of fragmenting into dangerous ...

From 20th to 24th October, the United Nations Office for Disaster Risk Reduction (UNDRR), the African Union Commission (AUC), the Southern African Development Community (SADC), and the Republic of ...

A new report from the United Nations, titled "Forensic Insights for Future Resilience: Learning from Past Disasters", urges countries to adopt a forensic approach to studying disasters in order to ...

In a new multi-agency report, United in Science, coordinated by the World Meteorological Organization (WMO), the United Nations Office for Outer Space Affairs (UNOOSA) underscores in its contribution ...

Senegal has taken a significant step in its journey towards technological sovereignty with the successful launch of its first satellite, Gaindesat-1A. The earth observation nanosatellite was launched ...

Climate change is increasingly impacting vulnerable populations with climate-related shocks such as floods, droughts, and extreme heat. REACH conducts intersectoral assessments to better understand ...