Estimation of the Douro River plume dimension based on image segmentation of MERIS scenes

Ana Teodoro; Hernâni Gonçalves; Fernando Veloso-Gomes; José A. Gonçalves

doi:10.1117/12.799879

2 October 2008 Estimation of the Douro River plume dimension based on image segmentation of MERIS scenes

Ana Teodoro, Hernâni Gonçalves, Fernando Veloso-Gomes, José A. Gonçalves

Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 71040F (2008) https://doi.org/10.1117/12.799879
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

Plumes are a mixture of fresh water and river sediment load, with some dilution caused by currents. Spatial and temporal variation of the river plumes can be studied by remote sensing techniques. The main objectives of this work were modeling the Douro River Plume (DRP) dimension based on image segmentation of MERIS data and to establish a relationship between the DRP dimension and different input parameters. Two different segmentation techniques were applied (watershed and region-based) in order to estimate the DRP dimension of twenty-five MERIS scenes (from 2003 to 2005). Firstly, we considered a simple linear regression model of the DRP dimension on the water volume, considering seasonal effects (summer period and the rest of the year), where a significant correlation of 0.664 was found (watershed segmentation) ignoring summer period. The second proposed model consisted in the incorporation of several parameters (last available plume, water volume, tide height and wind speed), presumed to be related to the DRP dimension. A determination coefficient of 62.2% was found for watershed segmentation excluding the summer period, regarding the multiple linear regression branch of the second proposed model.

Citation Download Citation

Ana Teodoro, Hernâni Gonçalves, Fernando Veloso-Gomes, and José A. Gonçalves "Estimation of the Douro River plume dimension based on image segmentation of MERIS scenes", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 71040F (2 October 2008); https://doi.org/10.1117/12.799879

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