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Google Earth Engine Tut- 91| Mastering NDVI Images |Thresholding & ROI Masking | View From Space Welcome to Tutorial 91 of Google Earth Engine! In this comprehensive session, we'll guide you through mastering Sentinel NDVI images, thresholding, and ROI masking in simple terms. Whether you're new to Earth observation or looking to refine your skills, this tutorial breaks down complex concepts for easy understanding. Sentinel satellites provide invaluable data on Earth's vegetation health through NDVI images. Learn how to interpret these images to monitor changes in vegetation cover over time. Explore thresholding techniques to segment images and focus your analysis on specific vegetation types. Additionally, discover ROI masking to isolate and analyze specific areas within images. 👍 Enjoying our content? Don't forget to hit the like button to show your support! Subscribe to stay updated with our latest tutorials and join our community of Earth enthusiasts. We love hearing from you, so leave a comment below with your thoughts, questions, or suggestions. Let's connect and explore the wonders of our planet together! 🌍✨Cheers and Remember I will see YOU on the other side!!! ([email protected]) Google Earth Engine Tut 90: • Google Earth Engine Tut- 90 | Sentinel Tem... Google Earth Engine Tut 89: • Sentinel-2 Temporal Difference Images in G... Google Earth Engine Tut 88: • Mastering Landsat Image Access and Downloa... Google Earth Engine Tut 87: • Google Earth Engine| Comparing Sentinel, L... visit our website : https://westcoastairshow.co.za/ Relevant tags: Google Earth Engine, Threshold, Masking in Google Earth Engine, NDVI Mask in Google Earth Engine, Sentinel Images, Satellite Image Processing, google earth engine tutorial,Sentinel-2, Landsat, remote sensing satellite, understanding remote sensing, Cloud Hashtag: #Sentinel #NDVI #GoogleEarthEngineTutorial #NDVIAnalysis #GeospatialInsights #RemoteSensing #SatelliteImagery #GeospatialAnalysis #SatelliteImagery #Threshold #viewfromspace #EarthScience #DataVisualization #EarthObservation #GIS