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Welcome to this tutorial on calculating the Soil Adjusted Vegetation Index (SAVI) using Landsat 8 imagery in Google Earth Engine (GEE). In this video, we'll guide you through the process step by step.
In this tutorial, we start by importing the Landsat 8 image collection, filtering it based on the area of interest (AOI) and date. Then, we visualize the study area on the map. Moving on, we define the SAVI calculation function and apply it to the image collection. We also clip the SAVI images to the AOI for better analysis. Finally, we visualize the SAVI layer using predefined parameters.
Don't forget to like and subscribe for more tutorials on remote sensing and geospatial analysis using Google Earth Engine! If you have any questions or suggestions, feel free to leave them in the comments below. Happy coding! 🌱🛰️
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📚 Useful links
Code link: code.earthengi...
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USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance: code.earthengi...
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Landsat Soil Adjusted Vegetation Index: www.usgs.gov/l...
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Importing GIS shapefiles into Google Earth Engine: • Importing GIS shapefil...
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Import Study Area Shapefile & Analyze LST Temporal Changes in Google Earth Engine: • Import Study Area Shap...
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#GEE #RemoteSensing #Landsat8 #SAVI #GeospatialAnalysis #Tutorial