iMMAP in partnership with Kartoza
             Online Operational Natural Disaster
             Risk Assessment (OONDRA)




             Developing accurate impact scenarios is essential for disaster preparedness, mitigation, and well-planned
             disaster response. Running a successful impact scenario, however, requires hazard data, like water runoff
             and other flood-specific information, and exposure data, like population density. A risk model can then
             predict the location and extent of potential impacts, providing an evidence base to inform targeted risk-
             reduction policies.
CONTEXT




             There are several available tools for performing these kinds of impact scenarios, such as the InaSAFE
             platform, but finding adequate input data is still a challenge for many organizations. A team at iMMAP,
             along with its partner Kartoza, set out to develop a platform to facilitate online risk assessment, in order
             to improve access to hazard and exposure data that are essential for creating accurate impact models. A
             pilot project was undertaken in Dar es Salaam, Tanzania, with assistance from various organizations like
             GeoSAFE, OpenStreetMap, and the World Bank. LINK TO PLATFORM
HIGHLIGHTS




             Established a methodology               Developed an extension to                 Produced a risk atlas for
             for capturing the metadata                GeoSAFE, a web-based                     Tanzania by leveraging
                  required for hazard                modeling tool, to facilitate             existing tools like InaSAFE
              modeling via a new online              metadata searches and the                 with a newly established
              risk assessment platform.               integration of geospatial                     online platform.
                                                      data from various online
                                                               sources.
             After investigating existing risk assessment platforms such as InaSAFE, the iMMAP/Kartoza team decided to focus on
             adding functionality and flexibility. An investigation into user needs on the ground was undertaken in Dar es Salaam
             with various partnering organizations.
APPROACH




             The team found that, in order to perform disaster scenario planning, organizations first had to undergo the arduous
             task of obtaining local data. The iMMAP/Kartoza team set out to build a platform, tools, and methodology to enable
             users to more easily find hazard and exposure online, and bring this information directly into InaSAFE to create fast
             and accurate impact scenarios. The team decided to work within existing tools as much as possible, and comply with
             open data standards.
             As a result of the mapping and disaster-related projects occurring in Dar es Salaam, the iMMAP/Kartoza team had
             a rich source of quality hazard and exposure data available. By loading hazard and exposure data and metadata
             into GeoNode, the team was able to perform quality impact scenarios from platforms running InaSAFE (QGIS and
             GeoSAFE). The GeoNode platform containing the curated hazard and exposure data is called the Online Operational
             Natural Disaster Risk Assessment platform (OONDRA).




               “Making hazard or exposure data easy to find and use, on a platform such as OONDRA,
                   will help maximize the utility of the data and ultimately help save more lives.”
                                             - Gavin Fleming, Co-Founder of Kartoza
NEXT STEPS




             The iMMAP/Kartoza team views the OONDRA platform as a potential ‘go-to’ source for hazard and exposure
             information. Data from OONDRA, which can be historical, based on model outputs, or live-fed from sensors, provide
             much-needed flexibility for disaster risk experts in the field. Further curation of the data and fine-tuning of the
             platform would help make the project more impactful. The team is also looking to enhance metadata functionality in
             many popular tools such as QGIS, InaSAFE, and GeoSAFE to improve the project’s overall effectiveness.




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