Memorias de investigación
Book chapters:
Chlorophyll-a and Turbidity Estimation Through Remote and Ground Data By a Grown Cell Structure
Year:2009

Research Areas
  • Processing and signal analysis

Information
Abstract
The Trophic Level Index (TLI) is an indicador of lake water quality. Four parameters are combined to construct the TLI: total nitrogen, total phosphorus, turbidity and chlorophyll-a. Tradicionally, these parameters are measured in field campaigns, registering water samples in different points inside the water body. These samples should be further analysed in the laboratory. This process is expensive in money and human resources; moreover, often, it is not possible to register an enough number of samples uniformly distributed. An alternative approach is the use of remote sensing techniques for identifying and evaluating more representative aspects of the eutrophication process. These techniques provide a synoptic vision, from a spatial and temporal point of view, of the whole water body, allowing a more efficient planification and management of it. The precision in the estimation of the variables under study will be depend of the spatial-spectral resolution of the multispectral image used. In this sense, a panchromatic-multispectral image fusion algorithm, based on fractal geometry and previously developed by the research team, will be used The aim of this work is to analyze the different performances of a previous methodology which combines, by Grown Cell Structures (GCS), satellite images information and in situ chlorophyll-a collected data, to obtain its spatial distribution in the whole lake, when source multiespectral and fused images are used.
International
Si
10.3233/978-1-60750-494-8-143
Book Edition
1
Book Publishing
European Association of Remote Sensing Laboratories
ISBN
978-1-60750-493-1
Series
Book title
Imagine Europe
From page
143
To page
149
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Organización y Estructura de la Información
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos