Estimation of chlorophyll «A» on the Mediterranean coast using a QuickBird image
Remote sensing has proved a useful tool for monitoring and assessing water quality. However, little research has been conducted using satellite images with high spatial resolution to analyze coastal areas with high variability near shore. The objective of this research was to develop a model for est...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/36141 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/36141 |
| Access Level: | acceso abierto |
| Palabra clave: | Remote sensing Monitoring Chlorophyll Coastal waters Teledetección Monitoreo Clorofila Aguas costeras QuickBird INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA TECNOLOGIA DEL MEDIO AMBIENTE |
| Sumario: | Remote sensing has proved a useful tool for monitoring and assessing water quality. However, little research has been conducted using satellite images with high spatial resolution to analyze coastal areas with high variability near shore. The objective of this research was to develop a model for estimating chlorophyll-a concentration on the Gandia coast (Western Mediterranean) by means of a high resolution QuickBird image. Several linear regressions were calculated to find the best chlorophyll-a model. The optimal model was found when blue and red bands were used. The retrieval accuracy (R2 ) was 0.92, while the root mean square (RMSE) was 0.34 mg/m3 . The selected model was validated with an independent data set and the estimation of chlorophyll-a was reasonably accurate (R2= 0.90). The results obtained in this study suggest that using a QuickBird sensor is an effective technique for monitoring the ecological status of coastal areas with an inherent high variability. |
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