the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi
Lucas Wouters
Anaïs Couasnon
Marleen C. de Ruiter
Marc J. C. van den Homberg
Aklilu Teklesadik
Hans de Moel
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We explored how disasters that occur before recovery from earlier events is complete can complicate recovery, using examples from science and the real world across different societal domains. We then reflect on why recovery under repeated disasters is more complex than simply returning to normal, and how the way we define recovery and the system we study shapes our understanding. These insights can help us better understand, study, and manage recovery from disasters.
Restoring wetlands mitigates climate change, yet fears persist that they spread mosquito-borne diseases. We mapped environmental data across Indonesia to test this. Surprisingly, we found no significant link between high conservation value and disease risk. This proves that protecting nature does not necessarily endanger public health. Our results identify safe areas for conservation, demonstrating that we can safeguard both ecosystems and human communities simultaneously.