UNU-DRM Centre for Spatial Analysis and Disaster Risk Management
UNU-DRM supports capacity building of people and organizations that are involved in natural hazard assessment and disaster risk management. We do this through education and training, knowledge development and research collaboration, and by delivering advisory services. The use of geo-information through remote sensing and GIS technology is emphasized in all out activities.
UNU-DRM aims at building a new generation of natural hazard experts, disaster risk managers and decision makers capable of producing and applying up-to-date geographical information to reduce disaster risk.
UNU-DRM was established in 2006 (as UNU-DGIM) after the United Nations University (UNU) appointed ITC as an Associated Institution.
Courses
UNU-DRM teaches course at ITC, and together with partners.
Do you have specific training needs for your organization?
Contact us to discuss the possbilities of developing a short course together.
- GIS for Disaster Risk Management with ADPC/AIT, Thailand (Certificate)
- Evaluacion de Amenazas y Riesgos para Desastres Naturales, with UMSS-CLAS in Bolivia (Certificate)
- Geo-Informacion para la Evaluacion y Manejo del Riesgo a Multiples Amenazas, with UNAM-CIGA, Mexico (Certificate)
- Disaster Risk Management and Environmental Assessment for Spatial Planning (Certificate)
- Applied Earth Sciences, with specialization in Natural Hazards and Disaster Risk Management (MSc degree)
- Natural Hazards & Disaster Risk Management, with Indian Institute for Remote Sensing (IIRS), Dehradun, India (MSc degree)
- Geo-information for Spatial Planning & Risk Management, with Gadjah Mada University, Yogyakarta, Indonesia (MSc degree)
- Spatial Data for Disaster Risk Management (Certificate)
- Remote Sensing and GIS for Natural Hazard Assessment (Certificate)
Project services
Projects services by UNU-DRM include technical advisory, on-the-job training, tailor-made worskshops and courses, contract reserach and institutional development. Our approach involves the use of RS and GIS tools, and a multi-disciplinary focus on strengthening work processes.
Partners
UNU-DRM maintains contacts with a large number of universities worldwide. We also work together with international institutions and organizations operating in countries in Africa, Asia, the Americas and Europe. The following list presents only a selection of our partners.
- IIRS - Indian Institute of Remote Sensing
- UGM - Gadja Mada University, Indonesia
- AIT - Asian Institute of Technology
- ADPC – Asian Disaster Preparedness Centre
- CLAS – Centro de Levantamientos Aeroespaciales y Aplicaciones SIG, Bolivia
- CIGA – Centro de Investigaciones en Geografia Ambiental, Mexico
- UNOSAT – Unitar’s Operational Satellites Applications Programme
- CEPREDENAC – Centro de Coordinacion para la Prevencion de Desastres Naturales, Guatamala
- UNEDRA – University Network for Disaster Reduction in Africa
- University of Geneva, Switzerland
Research
The Natural Hazards and Disaster Risk Management research theme (DMAN) led by professor Victor Jetten forms the research branch of UNU-DRM. Overall aim of our reseach is to contribute to reducing diaster risk and the impact of disasters.This is also achieved by integration of research results in our courses and project services.
Research projects
UNU-DRM realises knowledge development and research collaboration through its involvement in research projects. The following list presents an overview of research projects and reserach networks.
- CHANGES - Changing hydro-meteorological risks
- MOUNTAINRISKS - From prediction to management and governance
- SAFELAND - Living with landslide risk in Europe
- DESIRE - Desertification mitigation and remediation of land
- FLOODCONTROL 2015 - solutions for smart flood control
- SLARIM - Strengthening Local Authorities in Risk Management
- ENSURE
Research output
Scientific publications by staff and PhD candidates, as output from research projects and from the 4D-Earth research themes: Natural Hazards and Disaster Risk Management (DMAN) and Geological Remote Sensing.
