Remote sensing, or obtaining information about the Earth’s surface from afar using satellites or high altitude aircraft, is an important tool for predicting, mitigating, and managing disasters. To obtain a more comprehensive view of the conditions on Earth, remote sensing analysts must often look beyond information that can be immediately extracted from satellite imagery, for example, and use proxies, or indirect measurements based on this information, in order to evaluate other factors.
This is event is available for participation on an ongoing basis
English
Rapid population and urbanization, combined with extreme climatic events, are causing a swift increase in the vulnerability of communities to hazardous events. Unplanned growth in both urban and non-urban areas calls for preparation to reduce the impact of disasters. There is also a great need to utilize disaster risk information to design effective coping mechanisms.
This is event is available for participation on an ongoing basis
English
On this 3-day course, you will learn the concept and practice of reducing disaster risks through systematically analysing and managing the causal factors of disasters. The course examines reducing exposure to hazards, lessening vulnerability of people and property, wisely managing land and the environment, and improving preparedness for adverse events.
This is event is available for participation on an ongoing basis
English
The 2019 annual event for researchers and practitioners in integrated disaster risk management (IDRiM) will focus on the issues of “Knowledge-based Disaster Risk Management: Broadening the scope by « Smart Territories » for Sustainable and Resilient Cities and Organizations”.
A new publication presents 30 innovation products and approaches for disaster risk reduction, ranging from GIS and remote sensing to community-based disaster risk reduction and indigenous DRR technology. “30 Innovations for DRR” has been published by a group of experts from Keio University, the University of Tokyo, the United Nations University, CWS Japan and IRIDeS of Tohoku University.
This is event is available for participation on an ongoing basis
English
The APSTCDRR 2020 aims to provide an opportunity to the science, technology, and academia community in Asia and the Pacific to continue the much-needed science-policy dialogue to ensure that implementation of disaster risk reduction measures is based on reliable science, technology and innovation. Successful applications of science and technology in preventing and mitigating risks from different types of hazards including flood, earthquake, drought, health and other climate related hazards will be showcased.
The National Disaster Management Agency (NADMA), the Academy of Science Malaysia (ASM), the Universiti Kebangsaan Malaysia’s Southeast Asia Disaster Prevention Research Initiative (SEADPRI-UKM) and the IRDR International Centres of Excellence (ICoEs).
This introductory course familiarizes development practitioners with contemporary concepts and practices in disaster management and discusses the paradigm shift from re-active to pro-active approaches in this cross cutting field of development.
The International Telecommunication Union (ITU) has published a new report about the use and opportunities of ICT and disruptive technologies for disaster risk reduction and management. The publication was announced during the third ITU Global Forum on Emergency Telecommunications, which took place from 6 to 8 March 2019 in Balaclava, Mauritius.
This is event is available for participation on an ongoing basis
English
This course aims to introduce participants to existing and emerging technologies suitable for disaster risk reduction while promoting the overall aim of sustainable development. The course focuses on three main natural hazards- floods, landslides and earthquakes. It also discusses the challenges and limits of adapting and adopting technologies depending on context (Global North and Global South) with examples from Switzerland, Nepal, Colombia, Philippines and other countries.
Twitter
