Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

@article{Nasir2022DwellingTC,
  title={Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery},
  author={Md Nasir and Tina Sederholm and Anshu Sharma and Sundeep Reddy Mallu and Sumedh Ranjan Ghatage and Rahul Dodhia and Juan M. Lavista Ferres},
  journal={ArXiv},
  year={2022},
  volume={abs/2211.11636}
}
Vulnerability and risk assessment of neighborhoods is essential for effective disaster preparedness. Existing traditional systems, due to dependency on time-consuming and cost-intensive field surveying, do not provide a scalable way to decipher warnings and assess the precise extent of the risk at a hyper-local level. In this work, machine learning was used to automate the process of identifying dwellings and their type to build a potentially more effective disaster vulnerability assessment… 
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