A Cloud-based China's Landslide Disaster Database (CCLDD) Development and Analysis

被引:0
作者
Li, Weiyue [2 ,3 ]
Liu, Chun [2 ,3 ]
Wan, Zhanming [1 ,4 ,5 ]
Hong, Yang [1 ,4 ,5 ]
Sun, Weiwei [2 ]
Jian, Zhiwei [2 ]
Chen, Sheng [4 ,5 ]
机构
[1] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
[2] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China
[3] Tongji Univ, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China
[4] Univ Oklahoma, HyDrometeorol & Remote Sensing Lab, Norman, OK 73019 USA
[5] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA
来源
PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON CLOUD COMPUTING AND INFORMATION SECURITY (CCIS 2013) | 2013年 / 52卷
关键词
landslide; database; cloud; cyber-infrastructure;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Landslide is among the most dangerous natural disasters globally, frequently causing a large number of casualties and economic damages. Especially in China, there suffers the largest of deaths in the world [1]. At present, landslide events have been reported increasingly from newspapers, magazines and many cyber-hazard databases. Cyber-hazard database concerned provides powerful functions, such as query, update, share, management, mass storage and so on. However, there is often a lack of specific spatiotemporal characteristics of landslide impacts or a failure to visualize complete statics of landslide records due to variable entry criteria. We developed China's landslide disaster community cyber-infrastructure with cloud computing service integration and data collection, providing statistical landslide visualization in the period 1949-2011 based on Google platform. This work indicates cloud computing is further integrated into this cyber-infrastructure by utilizing public cloud services provided by Google, which effectively accelerates the speed during landslide data processing and visualization over the internet.
引用
收藏
页码:213 / 215
页数:3
相关论文
共 5 条
  • [1] Heersink P., 2005, Cartographica, V40, P133, DOI [10.3138/3888-1106-w155-43w7, DOI 10.3138/3888-1106-W155-43W7]
  • [2] Use of satellite remote sensing data in the mapping of global landslide susceptibility
    Hong, Yang
    Adler, Robert
    Huffman, George
    [J]. NATURAL HAZARDS, 2007, 43 (02) : 245 - 256
  • [3] Jelinek R., 2007, JRC41245
  • [4] Liu C., 2013, NAT HAZARDS, p[1, 16738]
  • [5] Global patterns of loss of life from landslides
    Petley, David
    [J]. GEOLOGY, 2012, 40 (10) : 927 - 930