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- W3094134411 abstract "The satellite images can be categorized in three classes on the basis of the spectral bands, viz., panchromatic, multispectral and hyprspectral. The multispectral imageries are very useful in the feature extraction and enhancement, the combination of bands creates magical effect not only to delineate some features but also to eliminate the others. Several water indices on the basis of band combinations have been proposed by the researchers for the open surface water detection. In the present work a new index has been proposed for open surface water detection from landsat-8 satellite imagery. The proposed index can detect the water class more efficiently as compared to the existing indices which has been supported by the quantitative data. The results are validated in terms of the number of pixels of water class with an accuracy of 99.77%." @default.
- W3094134411 created "2020-10-29" @default.
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- W3094134411 date "2020-08-01" @default.
- W3094134411 modified "2023-10-16" @default.
- W3094134411 title "A Novel Water Index for Extraction of Water Features using Landsat-8 Images in Prayagraj District, India" @default.
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- W3094134411 doi "https://doi.org/10.23919/ursigass49373.2020.9232311" @default.
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