Here is some work I’ve one on using machine learning for sustainability. My main focus has been sustainable use of water.
Global Water Use for Irrigation
Globally, agriculture consumes 65-70% of freshwater. In this work, I predict irrigation globally for the years 2001-2015 and show how it has changed in this timeframe.
Our project uses satellite and climate data to fit a random forest model and classify the world into “high”, “low-to-medium” and “no” irrigation areas. Published in Advances in Water Resources, 2021.
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Detecting Irrigation with Radar Satellites
With a little bit of preprocessing, SAR data and image-processing neural networks can detect irrigation in California with an accuracy of 95% (on a balanced dataset).