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Open AccessArticle

Bathymetry Time Series Using High Spatial Resolution Satellite Images

1
GIS and Remote Sensing, Murcia Institute of Agri-Food Research and Development, C/Mayor s/n, La Alberca, 30150 Murcia, Spain
2
Department of Mining and Civil Engineering, Universidad Politécnica de Cartagena, 30203 Cartagena Spain
3
Instituto Cavanilles de Biodiversidad y Biología Evolutiva, Universidad de Valencia, 46980 Paterna, Spain
4
Department of Ecology and Hydrology, University of Murcia, 30100 Murcia, Spain
*
Author to whom correspondence should be addressed.
Water 2020, 12(2), 531; https://doi.org/10.3390/w12020531
Received: 20 December 2019 / Revised: 3 February 2020 / Accepted: 4 February 2020 / Published: 14 February 2020
The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with differential correction installed in a drone, allows the acquisition of high-precision data in areas of shallow water, as in the case of the channel of the Encañizadas in the Mar Menor lagoon. This high precision information is the first step to develop the methodology to monitor the bathymetry of the Mar Menor channels. The use of high spatial resolution satellite images is the solution for monitoring many hydrological changes and it is the basis of the three-dimensional (3D) numerical models used to study transport over time, environmental variability, and water ecosystem complexity. View Full-Text
Keywords: Mar Menor; spatio-temporal variability; Pleiades-1 Mar Menor; spatio-temporal variability; Pleiades-1
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Erena, M.; Domínguez, J.A.; Atenza, J.F.; García-Galiano, S.; Soria, J.; Pérez-Ruzafa, Á. Bathymetry Time Series Using High Spatial Resolution Satellite Images. Water 2020, 12, 531.

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