NDVI analysis with Sentinel-2 in GEE | Google earth engine tutorial

Welcome to this NDVI Analysis with Sentinel-2 in GEE (Google Earth Engine) tutorial! In this video, you’ll learn step-by-step how to perform NDVI calculation in GEE using Sentinel-2 satellite imagery. Whether you’re new to remote sensing or want to learn GEE for beginners, this tutorial will guide you through every part of the NDVI analysis in Google Earth Engine workflow. The NDVI analysis with Sentinel-2 in GEE is one of the most essential processes in vegetation monitoring, agriculture, forestry, and environmental studies. Using Google Earth Engine, we can easily calculate, map, and visualize NDVI from Sentinel-2 data to understand vegetation health and changes over time. 🌱 In this Google Earth Engine NDVI tutorial, you will learn: How to import Sentinel-2 imagery in Google Earth Engine How to perform NDVI calculation in GEE using the NDVI formula (NIR - RED) / (NIR + RED) NDVI mapping and visualization in Google Earth Engine NDVI analysis with Sentinel-2 data for vegetation health NDVI change detection and time-series comparison in GEE Exporting NDVI maps and results from Google Earth Engine This Google Earth Engine tutorial focuses on the NDVI in Google Earth Engine (GEE) workflow — from image filtering and band selection to NDVI computation and visualization using color palettes. You’ll also learn how to adjust thresholds and interpret NDVI values to identify healthy vs. stressed vegetation. The NDVI analysis with Sentinel-2 in GEE method is ideal for: 🌾 Agricultural productivity studies 🌳 Forest and land-cover monitoring 🌦️ Drought and seasonal vegetation analysis 🛰️ Environmental and climate research By the end of this NDVI in GEE tutorial, you’ll be able to: ✅ Calculate NDVI from Sentinel-2 imagery in Google Earth Engine ✅ Visualize NDVI maps with color gradients ✅ Compare NDVI across different dates for change detection ✅ Export NDVI layers and images for GIS projects This is the perfect video for GEE beginners, GIS students, remote sensing learners, and anyone interested in vegetation index mapping in Google Earth Engine. 🚀 Whether you’re working on academic research or environmental monitoring, this NDVI analysis in Earth Engine tutorial gives you practical, hands-on experience with Sentinel-2 NDVI in GEE. 🔔 Don’t forget to like, comment, and subscribe for more Google Earth Engine tutorials on NDVI, EVI, classification, and time-series analysis. 🛰️ Tools Used: Google Earth Engine (JavaScript API) | Sentinel-2 MSI Data