Machine learning and landslide studies: recent advances and applications

Abstract Upon the introduction of machine learning (ML) and its variants, in form that we know today, to landslide community, many studies have been carried out explore usefulness ML research look at some classic problems from an point view. techniques, including deep methods, are becoming popular model complex starting demonstrate promising predictive performance compared conventional methods. Almost all published literature recent years belong one following three broad categories: detection mapping, spatial forecasting susceptibility temporal forecasting. In this paper, present a brief overview provide general summary conducted, years, above-mentioned categories, make attempt critically evaluate use methods processes. The paper also provides suggestions for future these powerful data-driven techniques studies.