How to efficiently extract reflectance information from Landsat-8 Level-1 Data Product images.

Earth Explorer provides a very good interface to download Landsat-8 data. However, we usually want to automate the process and run everything without spending time with GUIs. In this tutorial, I will show how to automate the bulk download of low Cloud Covered Landsat-8 images, in Python, using Amazon S3 or Google Storage servers.

Rock masses usually reduces the strength of the intact rock due to the presence of discontinuities. Engineers and geologists must take this effect into account to predict failure in slope faces and tunnel excavations. In this post, I will take you through the process of calculating the Hoek-Brown Failure Criteria in Python.

This tutorial shows how to automate downloading and processing DEM files. It shows a one-liner code to download SRTM (30 or 90 m) data and how to use rasterio to reproject the downloaded data into a desired CRS, spatial resolution or bounds.

Using Machine Learning (ML) algorithms to predict Airbourne Geophysics. A simple, but powerful solution using Rotation Gradients to add complexity to the model with a Automated Machine Learning (AutoML) implementation.

Preprocessing and exploring existing lithological shapefiles using GeoPandas and Folium.

Learn how to create nice Stereonets and Rose Diagrams, in Python, for your Structural Analysis.

Cartographic transformation and geodetic computations using Python easy to use modules.

What is Docker and why you should understand and learn it before you even start programming.

Step-by-step guide to extract data from the 12th Generation of the International Geomagnetic Reference Field in Python Programming Language.