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（ICLR）第二届面向遥感的机器学习研讨会中展示的研究海报《利用遥感与机器学习绘制最不发达国家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。以下技术信息来源于该研究海报配套的四页论文。若您有任何咨询或希望获取相关研究材料，可访问个人网站joshuadimasaka.com或项目官网riskaudit.github.io、关注本项目的GitHub仓库github.com/riskaudit，或发送邮件至[e-mail]。