OpenSendaiBench: A Benchmark Dataset of Building Exposure and Vulnerability Dynamics for EO-based Auditing of Global Disaster Risk

This Zenodo repository is the official global dataset for the research poster "Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning” at 2nd Machine Learning for Remote Sensing Workshop, 12th International Conference on Learning Representations (ICLR) in Vienna, Austria, on 11th of May 2024. The GitHub repository of Python codes can be accessed here: github.com/riskaudit/OpenSendaiBench. The following technical info is from the four-page paper of this research poster. If you have any inquiries or would like to access any related materials, please feel free to visit my website (joshuadimasaka.com) or our project website (riskaudit.github.io), follow our project's GitHub repository (github.com/riskaudit), or send an email to [e-mail].本Zenodo仓储库为2024年5月11日于奥地利维也纳举办的第12届国际学习表征会议（International Conference on Learning Representations，ICLR）第二届机器学习遥感研讨会（Machine Learning for Remote Sensing Workshop）上发表的研究海报《利用遥感（Remote Sensing）与机器学习（Machine Learning）绘制最不发达国家（Least Developed Countries）暴露度与物理脆弱性动态全球图谱》的官方全球数据集。本研究配套的Python代码GitHub仓库可通过以下链接获取：github.com/riskaudit/OpenSendaiBench。以下技术细节均来自该研究海报配套的四页论文。若您有任何疑问或希望获取相关研究材料，可访问个人网站（joshuadimasaka.com）或项目官方网站（riskaudit.github.io），关注本项目的GitHub仓库（github.com/riskaudit），或发送邮件至[e-mail]。