The code for the estimation of the Seeding Distribution Index (#SDI) is now available online on OSF. The SDI can help in the identification of the optimal frame window for image-velocimetry applications.
See osf.io/8egqw/
References
Pizarro, A., Dal Sasso, S. F., Manfreda, S., & Perks, M. T. (2020, September 17). Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow. https://doi.org/10.17605/OSF.IO/8EGQW
Pizarro, A., S.F. Dal Sasso, M. Perks and S. Manfreda, Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow, Hydrology and Earth System Sciences, 24, 5173–5185, (10.5194/hess-24-5173-2020) 2020. [pdf]
Pizarro, A., S.F. Dal, Sasso, S. Manfreda, Refining image-velocimetry performances for streamflow monitoring: Seeding metrics to errors minimisation, Hydrological Processes, (doi: 10.1002/hyp.13919), 1-9, 2020. [pdf]
Dal Sasso, S.F., A. Pizarro, S. Manfreda, Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers. Remote Sensing, 12, 1789 (doi: 10.3390/rs12111789), 2020. [pdf]