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Bathymetry time series using high spatial resolution satellite images

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Bathymetry time series using high spatial resolution satellite images

dc.contributor.author	Erena, Manuel
dc.contributor.author	Domínguez, José A.
dc.contributor.author	Atenza, Joaquín F.
dc.contributor.author	García-Galiano, Sandra
dc.contributor.author	Soria García, Juan Miguel
dc.contributor.author	Pérez-Ruzafa, Ángel
dc.date.accessioned	2020-12-28T12:01:58Z
dc.date.available	2020-12-28T12:01:58Z
dc.date.issued	2020
dc.identifier.citation	Erena, Manuel Domínguez, José A. Atenza, Joaquín F. García-Galiano, Sandra Soria García, Juan Miguel Pérez-Ruzafa, Ángel 2020 Bathymetry time series using high spatial resolution satellite images Water 12 531 1 28
dc.identifier.uri	https://hdl.handle.net/10550/76789
dc.description.abstract	The use of the new generation of remote sensors, such as echo sounders and Global Navigation Satellite System (GNSS) receivers with di erential 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.
dc.language.iso	eng
dc.relation.ispartof	Water, 2020, vol. 12, num. 531, p. 1-28
dc.subject	Imatges tridimensionals en biologia
dc.title	Bathymetry time series using high spatial resolution satellite images
dc.type	journal article	es_ES
dc.date.updated	2020-12-28T12:01:59Z
dc.identifier.doi	10.3390/w12020531
dc.identifier.idgrec	142078
dc.rights.accessRights	open access	es_ES