Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtain...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/180104 |
| Acceso en línea: | http://hdl.handle.net/11336/180104 |
| Access Level: | acceso abierto |
| Palabra clave: | 6S MODEL ATMOSPHERIC CORRECTION LANDSAT RESERVOIR WATER CLARITY https://purl.org/becyt/ford/2.7 https://purl.org/becyt/ford/2 |
| Sumario: | Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtained from top-of-atmosphere reflectance. The objective of this study was to evaluate whether the reliability of water clarity can be improved applying atmospheric correction of Landsat imagery. Further, a general predictive algorithm to determine water clarity in the reservoir was developed. Samples of SDT were taken from Río Tercero reservoir (Argentina). Landsat images were atmospheric corrected using the 6S code. Estimated values of SDT with and without atmospheric correction were compared for their differences. Results suggested that atmospheric corrected values of Landsat band 3 and the ratio 1/3 proved to be the best predictor of water clarity in the reservoir (R 2 = 0.84). Using the 6S code we demonstrate the usefulness of atmospheric correction to Landsat data since water clarity algorithm using surface reflectance was more reliable than the top-of atmosphere reflectance model. |
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