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http://dx.doi.org/10.11108/kagis.2015.18.1.001

Extraction of Heavy Snowfall Vulnerable Area for 3 Representative Facilities Using GIS and Remote Sensing Techniques  

Ahn, So-Ra (Dept. of Civil & Environmental Systems Engineering, Konkuk University)
Shin, Hyung-Jin (Water Resources Research Center, K-water Institute, Korea Water Resources Corporation)
Kim, Seong-Joon (Dept. of Civil & Environmental Systems Engineering, Konkuk University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.18, no.1, 2015 , pp. 1-12 More about this Journal
Abstract
This study is to analyze the heavy snowfall vulnerable area of snow load design criteria for greenhouse, cattle shed and building using ground measured snow depth data and Terra MODIS snow cover area(SCA). To analyze the heavy snowfall vulnerable area, Terra MODIS satellite images for 12 years(2001-2012) were used to obtain the characteristics of snow depth and snow cover areas respectively. By comparing the snow load design criteria for greenhouse(cm), cattle shed($kg/m^2$), and building structure($kN/m^2$) with the snow depth distribution results by Terra MODIS satellite images, the facilities located in Jeolla-do, Chungcheong-do, and Gangwon-do areas were more vulnerable to exceed the current design criteria.
Keywords
Snow Depth; Heavy Snowfall; MODIS; Vulnerable Area; Snow Load;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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