Data mining and machine learning techniques applied to land use land cover environmental data

• Mariana Albuquerque Reynaud Schaefer Federal University of Viçosa
• Carlos H. T. Brumatti Federal University of Viçosa
• Gustavo V. Veloso Federal University of Viçosa
• Jugurta Lisboa-Filho Federal University of Viçosa
• Elpídio Inácio Fernandes Filho Federal University of Viçosa
• Julio C. S. Reis Federal University of Viçosa

DOI: https://doi.org/10.5753/sbbd.2022.225356

Abstract

This work describes the Systematic Literature Review (SLR) process in data mining and machine learning applied on environmental and geographic data focused in land use and land cover. The most relevant publications obtained at the end of the review are detailed, in order to list future directions in research.

Keywords: data mining, machine learning, environmental data, remote sensing, systematic literature review, SLR

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