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Monitoring Sand Spit Variability Using Sentinel-2 and Google Earth Engine in a Mediterranean Estuary

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  • معلومة اضافية
    • Contributors:
      Ministerio de Ciencia e Innovación (España); Agencia Estatal de Investigación (España); European Commission; Ministerio de Ciencia, Innovación y Universidades (España); Junta de Andalucía
    • بيانات النشر:
      Multidisciplinary Digital Publishing Institute
    • الموضوع:
      2022
    • Collection:
      Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council)
    • نبذة مختصرة :
      Estuarine degradation is a major concern worldwide, and is rapidly increasing due to anthropogenic pressures. The Mediterranean Guadiaro estuary, located in San Roque (Cadiz, Spain), is an example of a highly modified estuary, showing severe negative effects of eutrophication episodes and beach erosion. The migration of its river mouth sand spit causes the closure of the estuary, resulting in serious water quality issues and flora and fauna mortality due to the lack of water renewal. With the aim of studying the Guadiaro estuary throughout a 4-year period (2017– 2020), the Sentinel-2 A/B twin satellites of the Copernicus programme were used thanks to their 5-day and 10 m temporal and spatial resolution, respectively. Sea–land mapping was performed using the Normalized Difference Water Index (NDWI) in the Google Earth Engine (GEE) platform, selecting cloud-free Sentinel-2 Level 2A images and computing statistics. Results show a closure trend of the Guadiaro river mouth and no clear sand spit seasonal patterns. The study also reveals the potential of both Sentinel-2 and GEE for estuarine monitoring by means of an optimized processing workflow. This improvement will be useful for coastal management to ensure a continuous and detailed monitoring in the area, contributing to the development of early-warning tools, which can be helpful for supporting an ecosystem-based approach to coastal areas. ; This research was funded by RTI2018-098784-J-I00 Sen2Coast project by the MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, by grant IJC2019-039382-I (Juan de la Cierva-Incorporación) by the Ministry of Science and Innovation of the Spanish Government, by grants FPU20/01294 and JAEINT_20_00462 (JAE INTRO 2020) by the Ministry of Universities of the Spanish Government and by PY20-00244 Sat4Algae project by the Andalusian Regional Government (Junta de Andalucía). ; Peer reviewed
    • File Description:
      application/pdf
    • ISSN:
      2072-4292
    • Relation:
      #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098784-J-I00/ES/DESARROLLO DE ALGORITMOS DE BATIMETRIA Y CALIDAD DE AGUA MEDIANTE LOS SATELITES DE ALTA RESOLUCION ESPACIAL SENTINEL-2A%2FB PARA EL AVANCE DE APLICACIONES COSTERAS/; info:eu-repo/grantAgreement/AEI//IJC2019-039382-I; info:eu-repo/grantAgreement/MICIU//FPU20/01294; Remote Sensing; Publisher's version; The underlying dataset has been published as supplementary material of the article in the publisher platform at 10.3390/rs14102345; https://doi.org/10.3390/rs14102345; Sí; Remote Sensing 14(10): 2345 (2022); http://hdl.handle.net/10261/272513; http://dx.doi.org/10.13039/501100004837; http://dx.doi.org/10.13039/501100000780; http://dx.doi.org/10.13039/501100011011; http://dx.doi.org/10.13039/501100011033; 2-s2.0-85130542271; https://api.elsevier.com/content/abstract/scopus_id/85130542271
    • الرقم المعرف:
      10.3390/rs14102345
    • الرقم المعرف:
      10.13039/501100004837
    • الرقم المعرف:
      10.13039/501100000780
    • الرقم المعرف:
      10.13039/501100011011
    • الرقم المعرف:
      10.13039/501100011033
    • Rights:
      open
    • الرقم المعرف:
      edsbas.40AB5E