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https://app.livestorm.co/inria-14/prairie-webinar-machine-learning-for-climate-change-analysis-of-remote-sensing-data?s=84d56536-59c5-4933-aebc-1b1c54352e02
Machine learning for climate change: Analysis of remote sensing data
Abstract:
There is currently a wealth of openly-available data generated by remote sensing platforms (including satellite and aerial imagery). This data can be of use for tackling a variety of problems related to climate change in terms of mitigation, adaptation, conservation, disaster response, and planning. In this talk, I will give an overview of some of these problems along with the relevant data sources and models that can be used to help tackle them. I will also discuss two ongoing projects in my lab, one on the remote analysis of the power grid and another on surveying the impacts of beaver dams. Finally, I will discuss my somewhat unorthodox path to this research area (coming from a neuroscience background) and provide resources for getting into work on climate change
By Grace Lindsay, Assistant Professor of Psychology and Data Science at NYU: “Machine learning for climate change: Analysis of remote sensing data”