Abstract

Landslide research requires consistent and widespread data. Many countries within the European Union have national landslide inventories to fulfill these demands for their respective research. However, those inventories were usually not intended to provide the technical basis for automated process and risk analyses during their design phase. The ongoing development of Germany’s national landslide database offers the opportunity to do this differently. This paper introduces a landslide inventory system called WISL suitable for data handling as well as for novel automated process and risk analyses on a national scale. WISL is designated to form the technical infrastructure for a German national database. Its core consists of an open source relational database management system (PostgreSQL), standardized input and registration methods as well as integrated analyses modules, which avoid large data movement and allow for rapid risk analyses. We present proof-of-concept results of endangered infrastructure related to automated risk mappings based on topography and proximity of active landslides. The use of open source software and the application of a standardized input and data acquisition system for experts, coupled with custom analysis modules, constitutes a step toward automated risk maps by a mere ‘button-press’. Future developments for the inventory lie in the field of refining and inventing analysis modules and collecting data, for which WISL provides a firm technical base.

Highlights

  • An accurate landslide inventory is a fundamental tool for all kinds of applied studies on landslides (Van Den Eeckhaut and Hervas 2012a)

  • automated risk identification module (ARIM) follows the objective of WISL to generate completely automated landslide susceptibility/risk maps

  • The area is approximately 40 km east of Nuremberg in Germany. This area of interest comprises three active landslide records in WISL, which the ARIM transformed by the help of a DEM into three extended landslide flow area’ (ELFA)

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Summary

Introduction

An accurate landslide inventory is a fundamental tool for all kinds of applied studies on landslides (Van Den Eeckhaut and Hervas 2012a). The use of open source software and the application of a standardized input and data acquisition system for experts, coupled with custom analysis modules, constitutes a step toward automated risk maps by a mere ‘button-press’. Keywords Database · Risk analyses · Landslides · Open source · Data scalability WISL presents a novel consolidation of various techniques and data sets for a national database of Germany (Damm and Klose 2015) based on open-source software.

Results
Conclusion

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