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Proceedings Paper

Geospatial location characteristics and global subdivision grid analysis of multiple disaster data
Author(s): Xuefeng Lv; Yannan Sun
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Paper Abstract

In order to better organize and analyze multiple natural disaster data for the disaster risk and loss assessment in a region, the geospatial location characteristics of different major natural disasters are analyzed and the three-element geospatial grid correlation model of multiple natural disaster data are put forward. Under this grid model, the unified geospatial location correlation is established between the disaster-causing factors and the disaster-affected bodies. Through the subdivision grid expression analysis of the major and typical natural disasters, such as the earthquake and the typhoon disaster, the basic three subdivision grid levels of this model, which are composed of the grid scale of 1° × 1° , the grid scale of 1′×1′ and the grid scale of 1″×1″ , may meet the expression and statistics scale requirements of the disaster-causing factors so as to solve the problem of the unified identification and expression of the geographical space between disaster-causing factors and disaster-affected bodies.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066U (9 August 2018); doi: 10.1117/12.2503087
Show Author Affiliations
Xuefeng Lv, National Disaster Reduction Ctr. of China (China)
Yannan Sun, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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