| Title | Water quality analysis by digital chromaticity mapping of Landsat data |
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| Author | Alföldi, T T; Munday, J C, Jr |
| Source | Canadian Journal of Remote Sensing vol. 4, issue 2, 1978 p. 108-126, https://doi.org/10.1080/07038992.1978.10854974 |
| Year | 1978 |
| Alt Series | Earth Sciences Sector, Contribution Series 20040148 |
| Alt Series | RESORS 1016464 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Nova Scotia; Eastern offshore region |
| NTS | 11E/04; 11E/05; 11E/06; 21A/01; 21A/08 |
| Area | Minas Basin |
| Lat/Long WENS | -64.5000 -63.3333 45.5000 45.0000 |
| Subjects | environmental geology; geophysics; Nature and Environment; Science and Technology; remote sensing; satellite imagery; LANDSAT imagery; surface waters; water quality; mapping techniques; colour;
suspended sediments; chlorophyll; bathymetry; sediments; sands; snow; ice; Air pollution; monitoring; cumulative effects |
| Released | 2014 08 01 |
| Abstract | Digital chromaticity analysis of LANDSAT CCT (computer compatible tapes) data with the IMAGE-100 system is a rapid and convenient method for investigating water quality. The chromaticity transformation
involves ratio normalization by total radiance, which enhances and facilitates water colour monitoring and analysis. Radiance noise of equal proportions in all bands is removed by the chromaticity transformation, and residual chromatic effects of
other noise are easily perceived on a chromaticity diagram. Chromaticity loci have been defined for pure water, suspended solids, chlorophyll, bathymetry, dry vs. wet sand, snow, ice, air pollution, haze, and clouds of variable thickness. A
correlation coefficient of r=0.96 (p<0.001) has been obtained, after graphical adjustment for varying atmospheric conditions, for multi-date sampling of suspended solids in the Minas Basin, Nova Scotia. A practical LANDSAT IMAGE-100 chromaticity
analysis system for water quality monitoring at relatively low cost can now be developed. |
| GEOSCAN ID | 216950 |
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