El sistema se apagará debido a tareas habituales de mantenimiento. Por favor, guarde su trabajo y desconéctese.
UNDERSTANDING COASTAL CHANGE FROM NOISY SATELLITE-DERIVED SHORELINE DATASETS: INFLUENCE OF TIDE AND RUNUP CORRECTION AND SPATIAL AVERAGING
Idioma
EN
Communication dans un congrès
Este ítem está publicado en
Coastal Sediments 2023, Coastal Sediments 2023, 2023-04-11, New Orleans. 2023-04-15p. 1347-1353
WORLD SCIENTIFIC
Resumen en inglés
Free-of-charge publicly available optical satellite imagery can now be used to provide short-term to multi-decadal shoreline satellite-derived shoreline (SDS) data, with errors typically under 10 m on microtidal beaches. ...Leer más >
Free-of-charge publicly available optical satellite imagery can now be used to provide short-term to multi-decadal shoreline satellite-derived shoreline (SDS) data, with errors typically under 10 m on microtidal beaches. However, SDS accuracy dramatically worsens at high-energy and/or meso to macrotidal lowgradient beaches, which challenges a robust assessment of shoreline variability and trends. In this contribution we demonstrate that, on such beaches, water level (tide + runup) correction and/or an adapted space-averaging of uncorrected (noisy) SDS dataset can substantially reduce uncertainties and thus allow addressing the timeand space variability of shoreline change and their primary drivers.< Leer menos
Proyecto ANR
Comprendre et prévoir l'évolution contemporaine du traite de côte dans un contexte de changement climatique par assimilation de données satellite dans les modèles hybrides
Centros de investigación
