2017
DOI: 10.1016/j.envsoft.2017.08.003
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Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

Abstract: Grid-based landslide susceptibility models at regional scales are computationally demanding when using a fine grid resolution. Conversely, Slope-Unit (SU) based susceptibility models allows to investigate the same areas offering two main advantages: 1) a smaller computational burden and 2) a more geomorphologically-oriented interpretation. In this contribution, we generate SU-based landslide susceptibility for the Sado Island in Japan. This island is characterized by deep-seated landslides which we assume can … Show more

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Cited by 129 publications
(72 citation statements)
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References 67 publications
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“…Aspect indicates the downslope direction, it is also related to is related to the orientation of precipitation, exposure to sunshine and wind impact [40]. The relationship between aspect and landslide occurrences are identified in a number of studies [4,32]. Their studies indicate that aspect influences the distribution of landslide by the propagation direction of seismic waves.…”
Section: Slope Aspectmentioning
confidence: 99%
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“…Aspect indicates the downslope direction, it is also related to is related to the orientation of precipitation, exposure to sunshine and wind impact [40]. The relationship between aspect and landslide occurrences are identified in a number of studies [4,32]. Their studies indicate that aspect influences the distribution of landslide by the propagation direction of seismic waves.…”
Section: Slope Aspectmentioning
confidence: 99%
“…For example, the recent Hokkaido Eastern Iburi earthquake on 6 September 2018, about 80% of the fatalities are caused by the landslides alone [2]. Apart from the fatalities, they also cause huge economic losses by damaging properties such as buildings, bridges and roads; this trend is observed more than any other natural disasters, such as earthquakes, typhoons, heat waves, sinkhole collapses, floods and forest fires [3][4][5][6]. The increased amount of urbanization and economic development together with the unusual frequency of severe regional precipitations owing to global climate change, the landslide hazard losses are expected to rise in the future [7][8][9].…”
Section: Introductionmentioning
confidence: 99%
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“…Slope aspect affects the slope stability indirectly via hydrologic processes, such as the direction of rainfall and sunshine [64][65][66]. In addition, the slope aspect can also influence the weathering process and vegetation distribution [67,68]. In this study, the slope was classified into nine categories, i.e.…”
Section: Landslide Conditioning Factorsmentioning
confidence: 99%
“…Bivariate and multivariate approaches are the most common statistical techniques, though probabilistic (e.g. Lee 2005;Goetz et al 2011Goetz et al , 2015Youssef et al 2016;Castro Camilo et al 2017) and Machine-Learning approaches (e.g. Lee et al 2004;Ermini et al 2005;Marjanovic et al 2011;Pham et al 2017) are also used in this type of analyses.…”
Section: Introductionmentioning
confidence: 99%