Qualitative and quantitative evaluation of earthquake-triggered landslide inventories in Nepal

Sansar Raj Meena*, Sepideh Tavakkoli Piralilou, Daniel Hölbling, Thomas Blaschke

*Corresponding author for this work

Research output: Contribution to conferenceAbstractAcademic

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Abstract

Landslide inventories are generated around the world at different scales and for different purposes, but limitedefforts are made to critically evaluate landslide inventories prepared using various techniques or by different in-vestigators. Event-based landslide inventories indicate the location, distribution, and ideally the boundaries oflandslides caused by a single event such as an earthquake or heavy rainfall. Such landslide inventories are essentialfor landslide susceptibility mapping, hazard modelling and further management of risk mitigation. In this research,we compare the statistical characteristics of several landslides inventories that were created in the aftermath of theGorkha earthquake in Nepal.In Nepal, there have been several attempts to map landslides after the Gorkha earthquake of April 25, 2015. Thelandslide inventories that have been prepared for the same area differ per interpreter, depending upon the personalperspective in mapping, the method of mapping adopted and the detail in delineating landslides. The landslide areamapped by different interpreters ranges from 35 m2to 118805 m2per inventory.We use four inventories obtained from different sources which are prepared through visual interpretation of remotesensing images. Landslide inventories were analysed based on the methodology used, their quality and complete-ness levels. The quality was determined based on the direct comparison between the inventories, i.e. the carto-graphic match/mismatch between the landslide polygons. Statistical properties of landslide areas were calculatedand the correlation between the frequency-area statistics distribution of landslides was assessed. There is a zigzagpattern of the plotted landslide probability density to the inverse gamma fit. Differences in the probability densitydistribution and the inverse gamma fit can be the result of mapping gaps for given inventories which means thatsome landslides are missing or not mapped by the respective interpreters. Results of our work give a basic overviewof the impact of methodology selection for landslide inventory mapping and outline the limitations and advantagesof different remote sensing and mapping techniques

(PDF) Qualitative and quantitative evaluation of earthquake-triggered landslide inventories in Nepal. Available from: https://www.researchgate.net/publication/331586401_Qualitative_and_quantitative_evaluation_of_earthquake-triggered_landslide_inventories_in_Nepal [accessed Feb 11 2020].
Original languageEnglish
Pages1
Number of pages1
Publication statusPublished - Apr 2019
Externally publishedYes
EventEGU General Assembly 2019 - Austria Center Vienna (ACV), Vienna, Austria
Duration: 7 Apr 201912 Apr 2019
https://meetingorganizer.copernicus.org/EGU2019/picos/30465

Conference

ConferenceEGU General Assembly 2019
CountryAustria
CityVienna
Period7/04/1912/04/19
Internet address

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