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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
Peer reviewed article  
Available in  Authors 
Document type: Conference paper
Keywords
    Analysis > Mathematical analysis > Statistical analysis > Time series analysis
    Coastal processes
    Remote sensing
    Marine/Coastal
Project Top | Authors 
  • Innovative coastal technologies for safer European coasts in a changing climate, more
Authors  Top 
  • Taramelli, A.
  • Valentini, E.
  • Dejana, M.
  • Zucca, F.
  • Mandrone, S.
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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THESEUS is funded by the European Commission within FP7-THEME 6 - Environment, including climate.
Grant 244104
1 December 2009 - 30 November 2013
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