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Monitoring chlorophyll concentration in water bodies is essential for assessing water quality, algal blooms, and ecosystem health. In this tutorial, we leverage Sentinel-2A imagery in Google Earth Engine (GEE) to estimate the Normalized Difference Chlorophyll Index (NDCI) for a selected lake. What You'll Learn Define a study area and load Sentinel-2A imagery. Filter images based on date and cloud cover. Compute the Chlorophyll Index (NDCI) for detecting chlorophyll levels. Use NDWI to mask out non-water regions. Visualize and analyse chlorophyll distribution over time. Export processed chlorophyll data for further research. ----------------------------------------------------------------- Resources: Code link: https://code.earthengine.google.com/d... Harmonized Sentinel-2 MSI: https://developers.google.com/earth-e... This video is perfect for environmental researchers, remote sensing specialists, and GIS professionals interested in aquatic ecosystem monitoring. Subscribe for more Google Earth Engine tutorials on water quality and environmental analysis! ----------------------------------------------------------------- 💰🤝🏻Join Membership to get access to perks & Support us🤝🏻💰 / @terraspatial ----------------------------------------------------------------- 👩💻 Join the Terra Spatial Community: Engage with fellow learners, share your experiences, and get support on our dedicated community forum. 🌐 Stay connected: 📌 Subscribe to our Channel: / @terraspatial. . 📌 Facebook: / terraspatial 📌 Geosuite blog: https://geosuite.blogspot.com/ --------------------------------------------------------------- 👍 **Don't forget to Like, Share, and Subscribe for more insightful tutorials! 🌐✨ #GoogleEarthEngine #Sentinel2 #WaterQuality #ChlorophyllIndex #NDCI #RemoteSensing #EnvironmentalMonitoring #GIS #EarthObservation