Earth Observation Satellite Imagery Information Based Decision Support Using Machine Learning

This paper presented a review on the capabilities of machine learning algorithms toward Earth observation data modelling and information extraction. The main purpose was to identify new trends in application or research observation—as well as help researchers positioning development these domains, considering latest peer-reviewed articles. A concepts presented, current approaches available data, followed by different applications algorithms. Special attention given contribution, potential observation-machine approaches. findings suggested that combination successfully applied several fields across world. Additionally, it observed all categories could be used analyse improve acquisition processes RF, SVM, K-Means, NN (CNN GAN) A2C were among most-used techniques. In conclusion, technologies prove crucial wide range (e.g., agriculture, climate biology) should further explored for each specific domain.