On machine learning from environmental data

Abstract

The application of machine learning (ML) algorithms for analyzing, modelling, and visualizing geospatial data has seen remarkable growth in recent years. Many ML techniques have proven to be both effective and efficient in addressing complex challenges within the geosciences. Selected topics on adaptation and application of ML to environmental data are briefly discussed in this research.