Flood damage mapping in North Korea using JERS-1 DATA

Choen Kim
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Abstract

Flood damage detection parameters were extracted from JERS-I OPS/SAR data over the North Korea flooded area. The NDVI values derived from JERS-1 OPS data were applied on the 3-second grid DEMs, by the coverage of which the damage area could be easily identified, depending on elevation intervals. The classified images derived from JERS-1 OPS data were analyzed in conjunction with digital elevation data and JERS-1 SAR data to yield vegetation cover type differentiation. In comparison with traditional change detection methods, flood damage coverage can be more easily produced by data fusion techniques in this paper.
使用JERS-1数据绘制朝鲜洪水灾情图
洪涝灾害探测参数提取自朝鲜洪涝地区的JERS-I OPS/SAR数据。从JERS-1 OPS数据中获得的NDVI值应用于3秒网格dem,根据高程间隔,可以很容易地确定损坏区域的覆盖范围。结合数字高程数据和JERS-1 SAR数据,对JERS-1 OPS数据的分类图像进行分析,得出植被覆盖类型的分异。与传统的变化检测方法相比,本文采用的数据融合技术更容易产生洪水灾害覆盖。
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