Qaraaoun Reservoir Volume Estimation from Aerial Images is an essential building block to enable scientists and researchers understand the hydrological dynamics of the largest water reservoir in Lebanon. In this project, we combined advanced image processing and machine learning techniques, LandSat 1-9 and Sentinel-2 imageries to provide the first 50+ Years time-series of water volume of the Qaraaoun reservoir.
Dashboard is being autonomously updated on a daily basis.
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This work was partially supported by SEALACOM.
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We relied on both water-observatory front-end and back-end while developping this project.
Feel free to reach out via contact widget Contact or through email aghandour at cnrs.edu.lb.
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