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- W3001494366 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 R NDTI G NDPI B MNDWI 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." @default.
- W3001494366 created "2020-01-30" @default.
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- W3001494366 date "2019-12-01" @default.
- W3001494366 modified "2023-10-14" @default.
- W3001494366 title "An analysis of flooding coverage using remote sensing within the context of risk assessment" @default.
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- W3001494366 doi "https://doi.org/10.2478/logos-2019-0026" @default.
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