|Modeling uncertainty in estuarine system by means of combined approach of optical and radar remote sensing|Taramelli, A.; Valentini, E.; Cornacchia, L.; Mandrone, S.; Monbaliu, J.; Hoggart, S.P.G.; Thompson, R.C.; Zanuttigh, B. (2014). Modeling uncertainty in estuarine system by means of combined approach of optical and radar remote sensing. Coast. Eng. 87(SI): 77-96. http://hdl.handle.net/10.1016/j.coastaleng.2013.11.001
In: Coastal Engineering: An International Journal for Coastal, Harbour and Offshore Engineers. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo. ISSN 0378-3839; e-ISSN 1872-7379, meer
Coastal areas; Remote sensing; SMA; Vegetation monitoring; EOF
|Project|| Top | Auteurs |
- Innovative coastal technologies for safer European coasts in a changing climate
|Auteurs|| || Top |
- Taramelli, A.
- Valentini, E.
- Cornacchia, L., meer
- Mandrone, S.
- Monbaliu, J.
- Hoggart, S.P.G.
- Thompson, R.C.
- Zanuttigh, B.
Coastal environments are complex systems undergoing continuous evolution at a range of spatial and temporal scales. In this context, geomorphological and ecological features can be strongly related. We propose a synoptic remote sensing approach to monitor the temporal dynamics of both biotic and abiotic factors in estuarine and coastal ecosystems. Through the combination of spaceborne optical and SAR imagery, we derived both ecological and morphological parameters, to be integrated for a multi-temporal analysis of the dominant processes and trends in coastal landscapes. These dynamics were studied at three locations: Bevano (IT), the Scheldt (B-NL) and Erme (UK). The objectives were to detect and analyze interannual variations of processes and environmental dynamics.The results highlight that over time, the morphology of different subsystems represents a balance between inputs (forcing agents like tidal range) and natural responses (related responses of the vegetation evolution). As a final remark the calculation of the uncertainties (subsidence rates) using new monitoring techniques such as satellite remote sensing has a specific added value that could be used for simulations over varying time scales and it should be considered as a potential ‘add in’ for an integrated management approach to coastal monitoring and control.