Palomar-Vázquez, J.; Cabezas-Rabadán, C.; Fernández-Sarría, A.; Priego De Los Santos, E.; Pons Crespo, R.; Pardo Pascual, JE. (2022). Shoreline contour, water level elevation and volumetric dataset (1984-2020) for the Gallocanta Lake (NE Spain). Data in Brief. 43:1-7. https://doi.org/10.1016/j.dib.2022.108437
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/193387
Título:
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Shoreline contour, water level elevation and volumetric dataset (1984-2020) for the Gallocanta Lake (NE Spain)
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Autor:
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Palomar-Vázquez, Jesús
Cabezas-Rabadán, Carlos
Fernández-Sarría, Alfonso
Priego De Los Santos, Enrique
Pons Crespo, Ramón
Pardo Pascual, Josep Eliseu
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica
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Fecha difusión:
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Resumen:
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[EN] Gallocanta is the largest well-preserved saline lake in Western Europe, included in the Ramsar List. Associated with its shallow morphology, the lake undergoes strong variations in its water surface extent along time ...[+]
[EN] Gallocanta is the largest well-preserved saline lake in Western Europe, included in the Ramsar List. Associated with its shallow morphology, the lake undergoes strong variations in its water surface extent along time that condition the habitat distribution and the ecological functions. Data on the morphology of the lake and its hydrological variations along time may be of paramount ecological importance for the managers of this natural space. Even though its interest for research and management purposes, no accurate and robust dataset of this nature covering large periods of time is available.
This dataset presents a multi-decadal mapping with a sub-weekly frequency (2-5 days) of the contour of the Gallocanta Lake (NE Iberian Peninsula) along the period 1984-2020 (1043 dates with information). The shoreline position appears continuously defined with subpixel accuracy from the freely-available images acquired by the satellites Sentinel-2 (sensor MSI) and Landsat 5 (TM), 7 (EMT+), and 8 (OLI) by applying the extraction system SHOREX. The satellite-derived shorelines allow the definition of the surface of the lake and are combined with a digital elevation model to assign elevation values to the points defining each shoreline. This allows deducing the mean elevation of the water level and the volumetric changes for those same dates. This data package constitutes a valuable source of information for carrying out robust analyses of the trends of the lake along decades, as well as its response to individual rainfall events.
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Palabras clave:
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Shoreline changes
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Water level fluctuations
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Remote sensing
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Lake monitoring
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Shoreline extraction
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Satellite-derived shorelines
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Landsat
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Sentinel.
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Derechos de uso:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Fuente:
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Data in Brief. (eissn:
2352-3409
)
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DOI:
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10.1016/j.dib.2022.108437
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Editorial:
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Elsevier
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Versión del editor:
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https://doi.org/10.1016/j.dib.2022.108437
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Coste APC:
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479,16 €
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111435RB-I00/ES/MONITORIZACION MORFOLOGICA DE LAS PLAYAS UTILIZANDO IMAGENES DE SATELITE DE LIBRE ACCESO Y COBERTURA GLOBAL/
info:eu-repo/grantAgreement/UNIVERSIDAD POLITECNICA DE VALENCIA//MS%2F28//AYUDA MARGARITA SALAS DE CABEZAS RABADAN, CARLOS/
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Agradecimientos:
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This research is supported by the projects `Monitorizacion de precision de las fluctuaciones de agua de humedales salinos intermitentes RAMSAR en la cuenca media del Ebro mediante teledeteccion espacial' with the financial ...[+]
This research is supported by the projects `Monitorizacion de precision de las fluctuaciones de agua de humedales salinos intermitentes RAMSAR en la cuenca media del Ebro mediante teledeteccion espacial' with the financial support of Fundacion Biodiversidad from the Spanish Ministry for Ecological Transition and the Demographic Challenge (MITECO),and MONOBESAT (PID2019-111435RB-I00) funded by the Spanish Ministry of Science, Innovation and Universities, and the Margarita Salas contract within the Re-qualification programme by the Spanish Ministry of Universities financed by the European Union -NextGenerationEU.
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Tipo:
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Artículo
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