How to Apply Machine Learning Techniques in GIS and Remote Sensing.

When you have large data sets of satellite or drone imagery that you have to process to create predictions, classification, or clustering – machine learning (ML) is the way to go. Indeed, ML has started to play a critical role in spatial problem solving given its potential to rapidly scan and unlock insights from petabytes of pixels obtained from hundreds of satellites and drones that are constantly orbiting earth. Orbital Insight, for example, applies machine learning and computer vision technologies to interpret data at petabyte scale to make it actionable for better business and policy decisions. The California based company has developed a powerful method that blends satellite imagery, deep learning, and data science for monitoring fresh-water supplies at local and global scale. Good news is that you don't have to be Orbital or in California,USA to also deploy machine learning. The proliferation of opensource platforms has made machine learning a lot easier to implement both on single personal computers and at scale, and in most popular programming or scripting languages.