Abstract
ABSTRACTLandslides are a pervasive natural disaster, resulting in severe social, environmental and economic impacts worldwide. The tropical, mountainous landscape in South-West Mexico is predisposed to landslides because of frequent hurricanes and earthquakes. The main goal of this study is to compare landslide susceptibility maps in Guerrero derived using high-resolution LIDAR (light detection and ranging) data from both a manual landslide event inventory and an automated landslide inventorying algorithm. The paper also highlights the importance of applying LIDAR data in landslide inventorying and susceptibility mapping.We mapped landslides based on two approaches: (1) manual mapping using satellite images and (2) automatic identification of landslide morphology employing the Contour Connection Method (CCM). We produced a landslide susceptibility map by computing the probability of landslide occurrence from statistical relationships of inventoried landslides detected with LIDAR digital terrain models (DTMs) and derived landslide-causing factors using the logistic regression method.Our results suggest that the automated inventory derived through the CCM algorithm with LIDAR DTMs effectively minimizes the time-consuming and subjective manual inventorying process. The high overall prediction accuracy (up to 0.83) from logistic regression demonstrates the validity and applicability deriving reliable landslide susceptibility maps from an automated inventory; however, LIDAR data are required.
Highlights
Landslides are a pervasive natural disaster, imparting severe social, economic and environmental impacts worldwide
Among them were debris flows occurring mostly along zones where topographic convergence predominate. These findings are consistent with high values of L/W ratio, suggesting fluidization processes produced by heavy precipitation
The automated Connection Method (CCM) enabled a fourfold increase in inventoried landslides in comparison to manual interpretation of satellite images, increasing exactness of the analysis with the use of high-resolution LIDAR digital terrain models (DTMs)
Summary
Landslides are a pervasive natural disaster, imparting severe social, economic and environmental impacts worldwide These hazards are often paired with extreme weather events and/or earthquakes, producing mass movements of rock and soil on otherwise metastable slopes, sometimes occurring rapidly with little warning. GEOMATICS, NATURAL HAZARDS AND RISK communications, damage of gas lines, water and sewage, and destruction of natural and cultural heritage monuments. These phenomena are often triggered by extrinsic factors (such as extraordinary rainfall or earthquakes) and intrinsic factors (such as geologic conditions, slope, vegetation and human activity). These colluvial and fluvial materials increase the destructive power of debris and mudflows along the river systems, increasing the risk for human settlements and activities (Atkinson & Massari 1998; Dai & Lee 2002; Ohlmacher & Davis 2003)
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