Engineering Machine Learning Solutions for Climate Adaptation: Remote Sensing for Disaster Recovery
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2021 UK Meteorological Office Science Conference
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Climate adaptation strategies can be bolstered by robust machine learning pipelines, particularly in the scope of humanitarian relief after extreme weather events. Here we present recent work on interpretable deep learning for disaster damage assessment and recovery. This poster was presented at the 2021 UK Met Office Science Conference in preparation for COP26.
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10.5281/zenodo.5553569
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Chen, Thomas Y. (2021). Engineering Machine Learning Solutions for Climate Adaptation: Remote Sensing for Disaster Recovery. Met Office Science Conference 2021, Met Office Hadley Centre (Virtual). Zenodo. https://doi.org/10.5281/zenodo.5553569
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Chen, Thomas Y. (2021). Engineering Machine Learning Solutions for Climate Adaptation: Remote Sensing for Disaster Recovery. Retrieved from the University Digital Conservancy, 10.5281/zenodo.5553569.
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