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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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Modelling coastal processes by means of innovative integration of remote sensing time series analysis Taramelli, A.; Valentini, E.; Dejana, M.; Zucca, F.; Mandrone, S. (2011). Modelling coastal processes by means of innovative integration of remote sensing time series analysis, in: 2011 IEEE International Geoscience and Remote Sensing Symposium Proceedings, July 24-29, 2011, Vancouver, British Columbia, Canada. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, : pp. 1547-1550. dx.doi.org/10.1109/IGARSS.2011.6049364 In: (2011). 2011 IEEE International Geoscience and Remote Sensing Symposium Proceedings, July 24-29, 2011, Vancouver, British Columbia, Canada. IEEE International Symposium on Geoscience and Remote Sensing IGARSS. IEEE: Vancouver. ISBN 978-1-4577-1005-6. 4472 pp., meer In: IEEE International Symposium on Geoscience and Remote Sensing IGARSS. IEEE: New York. ISSN 2153-6996, meer

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Beschikbaar in	Auteurs
VLIZ: Open Theseus Archive 235249 [ download pdf ]
Documenttype: Congresbijdrage

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Trefwoorden

Analysis > Mathematical analysis > Statistical analysis > Time series analysis Coastal processes Remote sensing Marien/Kust

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Innovative coastal technologies for safer European coasts in a changing climate, meer

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Taramelli, A. Valentini, E. Dejana, M.	Zucca, F. Mandrone, S.

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Abstract

Coastal marine and inland landforms are dynamic systems undergoing adjustments in form at different time and space scales in response to varying conditions external to the system. Coastal emerged and nearshore areas, affected by short-term perturbations, return to their pre-disturbance morphology and generally reach a dynamic equilibrium. The objective of this research is to propose innovative remote sensing applications for monitoring and/or combination of existing ones to monitor specific coastal processes in order to quantify and model their time evolution. In particular, it shows which properties are the best proxy for remote sensing characterisation of nearshore coastal areas both emerged and submerged environments by combining multi-sensor spaceborne remote sensing (SAR and OPTICAL) to (a) produce deformation and spatiotemporal variations maps in coastal morphology with a special focus to point out the temporal subsidence evolution, (b) integrate inter and intra-annual change detection maps of vegetation into coastal morphology.

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