An ArcGIS toolbox to semi-automatically identify and analyse geo-depressions in a bathymetric grid.
-
Updated
May 11, 2021 - Python
An ArcGIS toolbox to semi-automatically identify and analyse geo-depressions in a bathymetric grid.
Predicts oil mine presence using an advanced Graph Attention Network (LSGAT) and geological/environmental data. Features a robust training pipeline, comprehensive evaluation, and an interactive Streamlit web application for real-time predictions.
A curious data analysis of sorted geology themes. By Caio Madeira.
Add a description, image, and links to the geological-data topic page so that developers can more easily learn about it.
To associate your repository with the geological-data topic, visit your repo's landing page and select "manage topics."