Advancing river monitoring using image-based techniques: challenges and opportunities

Summer_School_of_Hydrology 0 views 6 slides Oct 09, 2025
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About This Presentation

Flsh Talk given at IAHS Assembly 2025 in Roorke, India


Slide Content

Advancingrivermonitoring using
image-basedtechniques:
challenges and opportunities
Manfreda, S., Miglino, D., Saddi, K. C., Jomaa, S., Etner, A., Perks, M.,
Strelnikova, D., Peña-Haro, S., Maddock, I., Tauro, F., Grimaldi, S.,
Zeng, Y., Gonçalves, G., Bogaard, T., van Emmerik, T., Bussettini, M.,
Mariani, S., Marchetti, G., Lastoria, B., Su, B., & Rode, M.

Image-BasedTechniques
for HydrologicalMonitoring
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Join the MOXXI Working Group
The working group isopen to allinterestedparticipants.
MOXXI Working Grouppromotesinnovative techniques
to advancehydrologicalmonitoring.
In thiscontext, image-basedtechniquesofferrich,
real-time information.
Key Information Obtainedfrom Images
•Water level
•Flow velocitypatterns
•Water turbidity
•Presenceof floatingobjects
•Otherenvironmentalindicators

Image Velocimetry
vs OtherTechniques
(Dal Sasso et al, Drones2021)
• Numberof papers extractedfrom Scopus (1980–
2020) usingkeywords:
–'river' AND 'velocity' with 'image velocimetry'
–'river' AND 'velocity' with 'currentmeter'
–'river' AND 'velocity' with 'radar’
Example: 2-D flow velocityfield derivedusingan
optical camera mountedon a quadcopterhovering
over a portionof the Bradano River system
(Southern Italy). Background image shows one of
the frames usedfor the analysiswith highlighted
surfacefeatures trackedby flow algorithms(see
insetsa, b).
(Manfreda and McCabe,Hydrolink2019)

Sarno River confluence
Monitoring of River Turbiditywith
Image Analysis
Sarno River mouth
(Miglinoet al., HESS 2025)

Thank you
Contact information
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