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- W2076404804 abstract "This study was undertaken to determine the application of Indian Remote Sensing Satellite 1A–Linear Imaging Self scanning (IRS-1A–LISS-I) spectral digital data for estimating turbidity in an inland water body. IRS-1A–LISS-I spectral digital data for 20 October 1988 for the Tawa Reservoir were analysed and compared with field measurements of turbidity and used to develop simple and multiple regression equations to estimate turbidity in the surface water. The turbidity values were positively correlated with increasing wavelength LISS-I bands, 1, 2 and 3 of the visible region of the spectrum. Simple linear regression analyses indicate that LISS-I band 3 (0·62–0·68 μm) is the best for prediction purpose. Multiple regression equations have higher correlations (r=0·91). For validation, the equations were tested using LISS-I data for 28 September 1988 for the Tawa Reservoir. IRS-1A–LISS-I data provide a solid foundation for further development of remote sensing as a practical tool in monitoring water quality. The regression technique has strong potential for the future application of IRS-1A–LISS-I data in monitoring water quality of inland water bodies and estuaries. © 1997 John Wiley & Sons, Ltd." @default.
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- W2076404804 date "1997-12-01" @default.
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- W2076404804 title "Monitoring turbidity with IRS-1A data" @default.
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- W2076404804 doi "https://doi.org/10.1002/(sici)1099-1085(199712)11:15<1907::aid-hyp537>3.0.co;2-2" @default.
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