Introduction

We will provide you with a dataset and a jupyter notebook, showing how to handle the dataset and train a model. This should give you a good starting point even if you are unfamiliar with Remote Sensing data or Machine Learning.

Tools and Technologies

  • Programming: You can use a language of your choice, e.g. Python is providing good support in Remote Sensing and Machine Learning
  • Remote Sensing: The dataset contains satellite imagery (DEMs, Landuse and Landcover, the river network, rainfall data)
  • Physics-aware machine learning: Choose your favourite technique to incorporate relevant physical laws into your machine learning model

 

Contact Us & Support Channels

If there are any questions do not hesitate to contact us via e-mail: [email protected]

Karniadakis, G.E., Kevrekidis, I.G., Lu, L. et al. Physics-informed machine learning. Nat Rev Phys 3, 422–440 (2021). https://doi.org/10.1038/s42254-021-00314-5