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Welcome to this step-by-step tutorial where we dive into the fascinating world of remote sensing and vegetation analysis! In this video, you’ll learn how to estimate Leaf Area Index (LAI) and perform NDVI Time Series Analysis using Landsat 8 imagery in Google Earth Engine (GEE). Whether you're a researcher, student, or GIS enthusiast, this guide will equip you with the skills to analyse vegetation health and dynamics over time.
What You’ll Learn
How to define a Study Area (ROI) and filter Landsat 8 imagery for your region of interest. Techniques to compute NDVI (Normalized Difference Vegetation Index) and LAI using Landsat surface reflectance bands. How to generate time series charts for NDVI and LAI to monitor vegetation changes from 2015 to 2022. Visualize and export NDVI and LAI maps for a specific year (e.g., 2020) for further analysis.
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Useful links
Code link: code.earthengi...
USGS Landsat 8: developers.goo...
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Why This Matters
Understanding vegetation dynamics is crucial for monitoring ecosystem health, agricultural productivity, and climate change impacts. With Google Earth Engine, you can perform large-scale geospatial analysis efficiently and for free!
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