Space and aerial technology

Use of space-based and aerial technologies such as satellite communications, remote sensing and drones to improve disaster management and collect data for disaster risk reduction (DRR).

Latest Space and aerial technology additions in the Knowledge Base

Research briefs
A new algorithm for satellite radar data may hold the key to resolving issues in observing precipitation observation issues in unique and challenging physical environments like the Tibetan Plateau.
University of Science and Technology of China (USTC)
Update
Satellite data from 1991 to 2020 show heavier summer rainfall that is likely to continue
European Organization for the Exploitation of Meteorological Satellites
Cover
Documents and publications
Through their Disasters Avoided project, the authors are demonstrating the benefits of proactive DRR for everyone, including through the effective use of Earth observations, so that no one is left behind.
Update
The United Nations Office for Outer Space Affairs (UNOOSA) and the University of Bonn have renewed their partnership, reinforcing their commitment to leveraging space technology in response to growing threats from natural and human-made disasters.
United Nations Platform for Space-based Information for Disaster Management and Emergency Response
Rockfall blocks a road followin heavy rain
Research briefs
Using data collected from a 2022 magnitude 6.8 earthquake in Luding County in China's Sichuan Province, researchers have tested whether Global Navigation Satellite System observations could be used for rapid prediction of earthquake-triggered landslides.
Seismological Society of America
California wildfires, July 2021
Update
The impacts of climate change are escalating, compounded by urban expansion into fire-prone areas. Eight cutting-edge technologies have the potential to revolutionize wildfire risk reduction strategies.
United Nations Office for Disaster Risk Reduction (UNDRR)
Aerial view of a burned area
Research briefs
Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.
University of Southern California
Cover
Documents and publications
This report provides an assessment of the impact of the catastrophic flooding in Derna, Libya, based on high spatial nighttime light data from SDGSAT-1.
Uploaded on

Is this page useful?

Yes No
Report an issue on this page

Thank you. If you have 2 minutes, we would benefit from additional feedback (link opens in a new window).