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🚀 Get full course access with complete code in Google Earth Engine! 👉 https://www.udemy.com/course/urban-ve... 👉 https://bit.ly/EarthsAI 🌱 Urban Vegetation Detection Using Sentinel-2 in Google Earth Engine | NDVI + Custom Visualization (Paris Case Study) In this video, we demonstrate how to detect and visualize urban vegetation using Sentinel-2 Surface Reflectance data in Google Earth Engine (GEE). Using a case study focused on Paris, we calculate the Normalized Difference Vegetation Index (NDVI) to identify green areas and apply a custom RGB color transformation to enhance vegetation visualization in an urban setting. You'll learn: ✅ How to access and filter Sentinel-2 SR imagery ✅ How to calculate NDVI and apply vegetation thresholds ✅ How to build custom RGB bands to highlight green cover ✅ How to visualize vegetation in a unique way for urban analysis 🔍 This technique is ideal for urban planners, environmental analysts, and researchers interested in monitoring green infrastructure and vegetation health within cities. 📍 Area of Interest: Paris, France 🛰 Data Source: Sentinel-2 SR Harmonized 🛠 Tools Used: Google Earth Engine (JavaScript API) 🚀 Get full course access with complete code in Google Earth Engine! 👉 https://www.udemy.com/course/urban-ve... 👉 https://bit.ly/EarthsAI 🔔 Stay Connected & Follow Us: YouTube Channel: / @earthsailab LinkedIn: / earth-s-ai Google Site: https://sites.google.com/view/earths-ai/ #UrbanVegetation#Sentinel2 #GoogleEarthEngine #Sentinel2 #NDVI #UrbanDetection #VegetationMapping #RemoteSensing #EarthObservation #ParisMapping #UrbanGreenSpaces #SatelliteImagery #GeospatialAnalysis #GEE #GIS #EnvironmentalMonitoring #UrbanPlanning