Published 2024
| Version 1.1.0
Poster
Open
Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning
Creators
Description
This Zenodo record contains the poster presented 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. 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 jtd33@cam.ac.uk.
Relevant download links:
- Poster (in PDF format)
- Poster (in GIF format)
- Poster (in MP4 format)
- Camera-ready Paper (arXiv)
- OpenSendaiBench (Zenodo)
- Slide Presentation (in PDF format) - added in Version 1.1.0
Updates:
- Minor Update for Version 1.1.0 (May 22, 2024): We added the 10-minute slide presented at the Cambridge Hazard & Risk Research Day on the 21st of May 2024 at the University of Cambridge.
Files
ICLR24_ML4RS_JDCGES_POSTER.pdf
Additional details
Related works
- Cites
- Dataset: 10.5281/zenodo.10840484 (DOI)
- Is variant form of
- Conference paper: arXiv:2404.01748 (arXiv)
Funding
- UK Research and Innovation
- UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) EP/S022961/1
Software
- Repository URL
- https://github.com/riskaudit/OpenSendaiBench
- Programming language
- Python
- Development Status
- Wip