Geospatial location characteristics and global subdivision grid analysis of multiple disaster data

Xuefeng Lv; Yannan Sun

doi:10.1117/12.2503087

9 August 2018 Geospatial location characteristics and global subdivision grid analysis of multiple disaster data

Xuefeng Lv, Yannan Sun

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108066U (2018) https://doi.org/10.1117/12.2503087
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Xuefeng Lv and Yannan Sun "Geospatial location characteristics and global subdivision grid analysis of multiple disaster data", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066U (9 August 2018); https://doi.org/10.1117/12.2503087

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