Developing resilience and strengthening capacity of urban disaster risk management using remote sensing.

评估灾害风险时期的城市复原力，使用遥感，公民参与和机器学习的组合来做到这一点。随着城市的扩张以容纳更多的人，它们往往没有适当的规划，特别是在低收入和中等收入国家。然而，这导致了空间不平等和更大的灾害风险。我的研究将以埃塞俄比亚为案例研究，并将寻求了解使人们处于风险之中的气候危害，以及这些危害位于城市的何处，谁面临的风险最大，以及通过利益相关者和公民参与来建立复原力的情况。创建健康，宜居和更具弹性的城市，同时包括生活在其中的人是这项研究的一个关键特征。

Assessing urban resilience in times of disaster risk, using a combination of remote sensing, citizen engagement and machine learning to do this. As cities expand to incorporate more people, they often do so without proper planning, particularly in low to middle income countries. However, this leads to spatial inequality and greater of exposure to risk of hazards. My research will use Ethiopia as a case study and will seek to understand the climate hazards that put people at risk and where these are located within the city, who is most at risk and what building resilience looks like through stakeholder and citizen engagement. Creating healthy, liveable and more resilient cities whilst including the people that live in them is a key feature of this research.