Image and Signal Processing • ISP (@isp-uv-es.bsky.social)

❔What if water turbidity could be monitored globally every few days? 🗞️Read more in "Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques"! 🔗 https://tr.ee/Near-Real-TimeTurbidityMonitoring #EarthObservation #MachineLearning

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Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques HighlightsWhat are the main findings?We have developed a machine-learning algorithm able to quantify high-turbid environments.We use open-source and free databases to train the model and open-source and free tools to develop it, which makes it easily replicable and transferable.What are the implications of the main findings?The social impact of our work implies improved monitoring of areas with high turbidity, which can lead to a better understanding and use of forecasting.Ocean color and water quality communities can take advantage of the lessons learned for developing new products or services. https://tr.ee/Near-Real-TimeTurbidityMonitoring