Authors: Weiyue Li Chun Liu Yang Hong Xinhua Zhang Zhanming Wan Manabendra Saharia Weiwei Sun Dongjing Yao Wen Chen Sheng Chen Xiuqin Yang Yue Yue
Publish Date: 2016/06/30
Volume: 13, Issue: 7, Pages: 1275-1285
Abstract
Landslide inventory plays an important role in recording landslide events and showing their temporalspatial distribution This paper describes the development visualization and analysis of a Chinas Landslide Inventory Database CsLID by utilizing Google’s public cloud computing platform Firstly CsLID Landslide Inventory Database compiles a total of 1221 historical landslide events spanning the years 19492011 from relevant data sources Secondly the CsLID is further broken down into six zones for characterizing landslide causeeffect spatiotemporal distribution fatalities and socioeconomic impacts based on the geological environment and terrain The results show that among all the six zones zone V located in Qinba and Southwest Mountainous Area is the most active landslide hotspot with the highest landslide hazard in China Additionally the Google public cloud computing platform enables the CsLID to be easily accessible visually interactive and with the capability of allowing new data input to dynamically augment the database This work developed a cyberlandslide inventory and used it to analyze the landslide temporalspatial distribution in China
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