Delve into the inaugural release of SWOT satellite data, including a quick assessment of the water mask provided by Level-2 products from th

Learn to process satellite images with just a few lines of code without downloading it

Learn to access satellite imagery with just a few lines of code without downloading it

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

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

Learn how to create scatter plots from satellite imagery and automate a PDF reporting engine with the results

Learn how to perform raster reprojection, clipping and merging using the rasterio package for Python

Learn how to (correctly) use raster bit masks layers provided by satellite images as quality assessment bands

In this third post we show how to perform spectral analysis on multispectral satellite imagery.

This is the second post in a series that will teach non-programmers how to use Python to handle and analyze geospatial data. Introduction...

First post in a series that will teach non-programmers how to use Python to handle and analyze geospatial data

Learn how to improve agglomerative clustering performance on large datasets