One of my interests is science-based worldbuilding, a big part of being creating plausible geographies based on real science. I decided to adapt my interest in the area towards real-world climate sciences.
What it does
This is an AI that takes in rainfall, temperature, and altitude data for a certain region, and trains it against satellite color data of said region to project what an area would look like from space given arbitrary rainfall/temperature/altitude data.
How we built it
I used Python Tensorflow Keras to create a triple-input convolutional neural network, taking in greyscale GeoTIFF files, and matching them against a RGB PNG output. Data was sourced from WorldClim, ETOPO1, and NASA Blue Marble.
Challenges we ran into
I initially planned on working with a partner, but that ended up producing nothing for the better part of the first day due to timezone differences.
What's next for ClimateCNN
Actually finish it lmao