We will be creating a program which takes in a type of bathymetric data file (either .netcdf or .geotiff), does some basic preprocessing to broadly find points of interest in the data and exclude irrelevant data, and then the machine learning algorithm will identify all potential faults. Finally, the program will export the formatted output.

For our project, we are planning to create a ML model that can accurately identify the location of subduction faults when given bathymetry data. Our plan is for this model to disregard as many false faults as possible and for it to provide the user a .txt file containing the latitude/longitude coordinates of the possible faults. We want this model to be simple and easy to understand for less technically involved users.

GeoMapApp

Python

netCDF data