An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages

A beginner's step-by-step guide to start using Docker Containers for Data Science development and avoid complex Python environment managers

An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages

Learn how to install the basic geospatial dependencies, such as GDAL and XArray, and deploy them as a container

An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages

easy-to-use unsupervised water detection algorithm for Sentinel 2 and Landsat 8 images that uses a multi-dimensional clustering coupled with

some of the main reasons why software developed in the Academia and research centers are so poorly designed and possible solutions

Learn why you should take care when using Jupyter Notebooks for your data science projects.

Learn how to create a STAC catalog for geospatial data stored locally, in Python with pystac