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UID:pretalx-foss4g-it-2023-SSWEYP@talks.staging.osgeo.org
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DESCRIPTION:Morphodynamics aims to predict the evolution of the topography 
 of rivers\, estuaries\, and coastal regions under different environmental 
 forcings. Understanding the stability of such systems is a fundamental iss
 ue which may help the management of these areas in terms of flood control\
 , erosion prevention\, and habitat restoration.\nAlthough the study of mor
 phodynamics has made great progress over the decades\, even from a theoret
 ical point of view\, models need data to be tested and eventually used in 
 machine learning algorithms. From this point of view\, remote sensing is a
  powerful tool that provides data and a way to monitor changes in these sy
 stems over time.\nThe processing of open images from Sentinel-2 (https://s
 entinel.esa.int/web/sentinel/missions/sentinel-2) satellite can support th
 e study of the morphodynamic evolution of river\, estuaries\, and coastal 
 environments. By collecting multispectral images and using appropriate alg
 orithms\, the water depth of riverbed and seafloor can be derived\, the em
 erged and submerged areas can be classified automatically into types of be
 drocks or vegetation. In addition\, satellite images can be used to derive
  parameters\, such as channel width\, the evolution of which over time ind
 icates erosion or deposition processes\, and water turbidity\, which can b
 e an indicator of suspended sediment transport. Hence\, data collected thr
 ough image analysis provides a useful tool for morphodynamic modelling.\nW
 e propose combining remote sensing and morphodynamic modelling for a compr
 ehensive river system assessment. This integrated approach can provide an 
 accurate understanding of river morphology\, hydrodynamics\, and sediment 
 dynamics\, supporting informed decision-making for sustainable river manag
 ement. In this paper\, a preliminary application of this novel approach to
  a case of the Roia river in Liguria is presented. The Sentinel-2 multispe
 ctral optical images are processed and integrated with in-situ measurement
 s to create a dataset for the morphodynamic model. In particular\, the Sat
 ellite Derived Bathymetry is computed to estimate the depth variations alo
 ng the river course\, and the image classification is performed mapping di
 fferent types of riverbed features such as vegetation\, water turbidity\, 
 and sedimentation (Apicella et al. 2023\, Apicella et al. 2022). Such a da
 taset is first used to test the capacity of some existing theoretical morp
 hodynamic models (Seminara et a al. 2012\, Ragno et al.\,2021) to predict 
 the equilibrium topography of the inlet reach of the Roia river.  As a sec
 ond step\, the stability and evolution of the system under different scena
 rios of river discharges and sea forcing will be investigated. \nThe work 
 is carried on within the Robotics and AI for Socio-economic Empowerment 
 – RAISE (https://www.raiseliguria.it/) project funded by the “Piano Na
 zionale di Ripresa e Resilienza” -  PNRR (https://www.mise.gov.it/it/pnr
 r)\, aiming to create a sustainable and resilient ecosystem that supports 
 economic development\, social well-being\, and environmental conservation.
  An application activity focuses on the hydrographic\, coastal and marine 
 environment\, which are key drivers of the local economy. In this context\
 , one of the outcomes will be the risk assessment system and vulnerability
  of coastal areas (deltas\, river mouths and lagoons) to climate change.\n
 Acknowledgments\nThis work was carried out within the framework of the pro
 ject "RAISE - Robotics and AI for Socioeconomic Empowerment” and has bee
 n supported by European Union – NextGenerationEU. \nReferences\nApicella
 \, L.\; De Martino\, M.\; Ferrando\, I.\; Quarati\, A.\; Federici\, B. Der
 iving Coastal Shallow Bathymetry from Sentinel 2-\, Aircraft- and UAV-Deri
 ved Orthophotos: A Case Study in Ligurian Marinas. J. Mar. Sci. Eng. 2023\
 , 11\, 671. https://doi.org/10.3390/jmse11030671\nApicella\, L.\; De Marti
 no\, M.\; Quarati\, A. Copernicus User Uptake: From Data to Applications. 
 ISPRS Int. J. Geo-Inf. 2022\, 11\, 121. https://doi.org/10.3390/ijgi110201
 21\nRagno\, N.\; Tambroni\, N.\;  Bolla Pittaluga\, M. When and where do f
 ree bars in estuaries and tidal channels form? Journal of Geophysical Rese
 arch: Earth Surface 2021\, 126\, e2021JF006196. https://doi.org/10.1029/20
 21JF006196\nSeminara\, G.\; Bolla Pittaluga\, M.\; Tambroni\, N. Morphodyn
 amic equilibrium of tidal channels. In W. Rodi\, & M. Uhlmann (Eds.)\, Env
 ironmental fluid mechanics: Memorial volume in honour of Prof. Gerhard H. 
 Jirka 2012\, pp. 153– 174. CRC Press. https://doi.org/10.1201/b12283
DTSTAMP:20260428T025531Z
LOCATION:Sala Videoconferenza @ PoliBa
SUMMARY:Sentinel-2 open data processing and morphodynamic modelling: an int
 egrated approach to model sediment supply effects on rivers\, estuarine an
 d coastal areas - Bianca Federici\, Lorenza Apicella\, Monica De Martino
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/SSWEYP/
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