Increasing the resilience of countries to natural hazards through the integration of open exposure data derived through satellite imagery and open protocols.

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The escalating impacts of natural hazards are caused mostly by increasing exposure of populations and assets. It is estimated that the world will see the construction of 1 billion new dwellings by 2050 and this growth may lead to rapid increase in risk.

.: UK Space Agency :.

HOT is working together with the British Geological Survey, ImageCat, and the Global Earthquake Model on a UK Space Agency International Partnership Programme, focused on developing innovative applications of earth observation (EO) technologies to improve understanding of exposure to help minimise these risks.

The project aims to build and strengthen local and global resilience through complete, up-to-date, accurate exposure data in order to better identify risk and enable more effective decision-making:

• Deliver exposure data for...

The escalating impacts of natural hazards are caused mostly by increasing exposure of populations and assets. It is estimated that the world will see the construction of 1 billion new dwellings by 2050 and this growth may lead to rapid increase in risk.

.: UK Space Agency :.

HOT is working together with the British Geological Survey, ImageCat, and the Global Earthquake Model on a UK Space Agency International Partnership Programme, focused on developing innovative applications of earth observation (EO) technologies to improve understanding of exposure to help minimise these risks.

The project aims to build and strengthen local and global resilience through complete, up-to-date, accurate exposure data in order to better identify risk and enable more effective decision-making:

• Deliver exposure data for 46 of the least developed Official Development Assistance (ODA) countries

• Capacity-building of local decision makers to apply data and assess hazard exposure

• Create open protocols to develop critical exposure information from EO data

The country-wide datasets developed by ImageCat will be tested for their suitability of purpose against OSM data surveyed on the ground within the cities of Kathmandu and Dar es Salaam. Detailed attribute information following the GED4ALL taxonomy developed as part of the GFDRR Challenge Fund, will be collected for buildings randomly selected within homogenous zones by Kathmandu Living Labs and Ramani Huria for their cities.

For more detailed information regarding the organised editing work in OSM for Kathmandu and Dar es Salaam, please see their respective OSM wiki pages set up by Kathmandu Living Labs and Ramani Huria:

• Kathmandu Organised Editing Wiki Page
• Dar es Salaam Organised Editing Wiki Page

METEOR is also working closely with the National Society for Earthquake Technology of Nepal and the Disaster Management Department of the United Republic of Tanzania to ensure that the project is effectively received by local partners.