Pons Crespo, Ramón

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    Publication
    Inferring volumetric changes at a shallow lake from subpixel satellite-derived shorelines
    (Elsevier, 2022-12) Palomar Vázquez, Jesús Manuel; Cabezas Rabadán, Carlos; Castañeda, Carmen; Gracia, F. Javier; Fernández Sarriá, Alfonso; Priego de los Santos, Jose Enrique; Pons Crespo, Ramón; Pardo Pascual, Josep Eliseu; Departamento de Ingeniería Hidráulica y Medio Ambiente; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Instituto Universitario de Restauración del Patrimonio; Escuela Politécnica Superior de Gandia; Grupo de Cartografía Geoambiental y Teledetección; European Commission; Gobierno de Aragón; FUNDACION BIODIVERSIDAD; Fundación Biodiversidad; Agencia Estatal de Meteorología; Agencia Estatal de Investigación; UNIVERSIDAD POLITECNICA DE VALENCIA; Confederación Hidrográfica del Ebro; Ministerio para la Transición Ecológica y el Reto Demográfico; Universitat Politècnica de València
    [EN] Lakes with strong variations in their water coverage may act as in dicators of different natural phenomena. Recent techniques for the extraction of Satellite-Derived Shorelines (SDSs) with subpixel accuracy are potentially useful for accurate and continuous monitoring of the limits of water bodies along large periods. This work proposes a method for combining the shoreline position with a digital elevation model to assign elevation values to the points defining the SDSs along the period 1984¿2020 in the shallow Gallocanta Lake (NE Iberian Peninsula). The relationship between the water surface and the elevation allows modeling the phenomena of lake changes as well as an estimation of the volume. The obtained data enables analyzing size and elevation changes of the water surface and the volumetric changes of the lake over more than three decades with a sub-weekly frequency (2¿5 days). The results constitute a valuable data package for robust analysis of lake trends. In the short term, the methodology provides sufficient precision to capture the changes caused by single meteorological events such as rainfall, even of small magnitude. The method constitutes a novel approach for curate hydric monitoring of lakes and water bodies, along large terrtories without requiring continuous in situ data acquisition.
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    Publication
    Shoreline contour, water level elevation and volumetric dataset (1984-2020) for the Gallocanta Lake (NE Spain)
    (Elsevier, 2022-08) Palomar Vázquez, Jesús Manuel; Cabezas Rabadán, Carlos; Fernández Sarriá, Alfonso; Priego de los Santos, Jose Enrique; Pons Crespo, Ramón; Pardo Pascual, Josep Eliseu; Departamento de Ingeniería Hidráulica y Medio Ambiente; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Instituto Universitario de Restauración del Patrimonio; Escuela Politécnica Superior de Gandia; Grupo de Cartografía Geoambiental y Teledetección; FUNDACION BIODIVERSIDAD; Fundación Biodiversidad; AGENCIA ESTATAL DE INVESTIGACION; UNIVERSIDAD POLITECNICA DE VALENCIA
    [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.