| one publication added to basket [215578] | 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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Documenttype: Congresbijdrage
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| Trefwoorden |
Analysis > Mathematical analysis > Statistical analysis > Time series analysis
Coastal processes
Remote sensing
Marien/Kust |
| Project | Top | Auteurs |
- Innovative coastal technologies for safer European coasts in a changing climate, meer
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| Auteurs | | Top |
- Taramelli, A.
- Valentini, E.
- Dejana, M.
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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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