Importance of Machine learning methods in Remote sensing for different applications

This comparison enlists the various machine learning methods used with Remote sensing images and datasets for different applications, including mineralogy, soil moisture retrieval, humanitarian causes, and geosciences. This will help get a broad idea about the various machine learning algorithms used with remote sensing datasets (Space and Earth-based).