An analysis of flooding coverage using remote sensing within the context of risk assessment

IF 0.9 Q3 GEOLOGY
Geologos Pub Date : 2019-12-01 DOI:10.2478/logos-2019-0026
T. Solovey
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引用次数: 6

Abstract

Abstract Results of research of the identification of flooding as a result of groundwater table fluctuations on the example of the valley of the River Vistula, with the use of multi-spectral Sentinel-2 images from the years 2017–2018 are presented. An analysis of indexes of water use, calculated on the basis of green, red and shortwave infrared (SWIR) bands, for extraction of water objects and flooded areas was carried out. Based on the analyses conducted, a mapping method was developed, using three water indexes (MNDWI Modified Normalised Difference Water Index, NDTI Normalised Difference Index and NDPI Normalised Difference Pond Index). Results show that the 10 metre false colour composite RNDTIGNDPIBMNDWI obtained significantly improved submerged extractions more than did individual water indexes. Moreover, the 10-m-images of MNDWI and NDPI, obtained by the sharpening High Pass Filter (HPF), may represent more detailed spatial information on floods than the 20-m-MNDWI and NDPI, obtained from original images.
在风险评估范围内利用遥感分析洪水覆盖范围
摘要以维斯瓦河流域为例,利用2017年至2018年的多光谱Sentinel-2图像,介绍了识别地下水位波动导致的洪水的研究结果。对基于绿色、红色和短波红外(SWIR)波段计算的用于提取水体和淹没区的用水指标进行了分析。基于所进行的分析,开发了一种映射方法,使用三个水指数(MNDWI修正归一化差分水指数、NDTI归一化差分指数和NDPI归一化差分池指数)。结果表明,10米假彩色复合物RNDTIGNDPIBMNDWI比单个水分指数获得了显著改善的浸没提取。此外,通过锐化高通滤波器(HPF)获得的MNDWI和NDPI的10-m图像可以表示比从原始图像获得的20-m MNDWI或NDPI更详细的洪水空间信息。
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来源期刊
Geologos
Geologos GEOLOGY-
CiteScore
1.70
自引率
0.00%
发文量
7
审稿时长
12 weeks
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