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Modelling Exposure Through Earth Observation Routines: METEOR


Nepal Tanzania


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

Dar es Salaam is one of the fastest growing cities in Africa, with an annual population growth of over 5.7%. In 2002 there were approximately 2.5 million inhabitants, increasing to 4.4 million in 2012, and currently estimated at over 5.5 million. The population is expected to exceed 10 million by 2040, making Dar es Salaam a megacity. Urbanization is largely unplanned, and around 70% of city residents live in informal settlements. The poorest citizens who settle in these areas not only have less access to basic services, but are also the most exposed to natural hazards.

Severe flooding in December 2011 - January 2012 displaced at least 10,000 people in Dar es Salaam and caused 40 deaths. Heavy rains in April 2014 also led to widespread flooding and infrastructure damage. Climate change is expected to exacerbate these trends, as Tanzania’s coastal region is likely to experience heavier, more concentrated rainfall events. Increasing frequency of floods, landslides, and other hazards is expected to impact the most fragile, unplanned parts of the city.

In 2015 HOT began an initiative to mapping infrastructure data in various parts of Dar es Salaam. Now in its second phase, Ramani Huria 2.0, which began in 2017, is combining exposure data and flood hazard data to conduct risk analysis of potential future disasters. The team are using community mapping techniques to engage with local leaders and teach community inhabitants free, open source data collection tools from their smartphones. The data collected is enabling people across all levels of society to improve flood mitigation plans and raise awareness and resiliency to natural threats.

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Recent news from Modelling Exposure Through Earth Observation Routines: METEOR (View all news)

Kathmandu from above

Gaurav Shumsher Thapa — 13 December, 2018

METEOR: Site Visits with Kathmandu Living Labs in Nepal

HOT and KLL set out on site visits across Kathmandu to assess the homogenous zones identified for mapping in OpenStreetMap. These seven zones have been identified as rural, residential, dense residential, urban, industrial, informal, high urban and new industrial. KLL will remotely digitise all the building footprints within the homogenous zones, before collecting detailed attribute information on the ground for a select sample of these buildings.

Mhairi O'Hara — 20 November, 2018