kushanavbhuyan/Building-Identification-for-Exp-Vul-Risk-Assessment

Information about buildings is, sufficed to say, a very important aspect not just for urban land registry or transportation but also for disaster/hazard risk assessment. Specifically, typological attributes of buildings like number of residents living in them, number of floors, and many more. The study aims at figuring and capturing the typological attributes of the buildings by incorporating deep learning and other proxy information as a means of detecting and characterising the buildings.

Building Elements-at-Risk Identification for Exposure, Vulnerability and Hazard Risk Assessment with Open-Source Data

Information about buildings is, sufficed to say, a very important aspect not just for urban land registry or transportation but also for disaster/hazard risk assessment. Specifically, typological attributes of buildings like number of residents living in them, number of floors, and many more. The study aims at figuring out the typological attributes of the buildings by incorporating deep learning and other proxy information as a means of detecting and characterising the buildings.

This repository is a hub for the paper Bhuyan et al. (2022) and Master Thesis materials and codes regarding the detection, characterisation and exposure of building elements-at-risk. Please contact for the data. Data will not be published here due to storage limitations in GitHub.

Contact mail: kushanavb@gmail.com

If you use any codes, please cite this article: Bhuyan, K., Van Westen, C., Wang, J. et al. Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence. Nat Hazards (2022). https://doi.org/10.1007/s11069-022-05612-4