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This repo demonstrates how to apply zonal statistics to Sentinel-2 10m Land Use/Land Cover Time Series satellite data to compute and visualize tree cover change between 2018 and 2022 using R.

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Visualizing-tree-cover-loss

This repo demonstrates how to apply zonal statistics to Sentinel-2 10m Land Use/Land Cover Time Series satellite data to compute and visualize tree cover change between 2018 and 2022 using R.

In this tutorial, you will learn how to:

  • Download and preprocess Sentinel-2 10m Land Use/Land Cover Time Series satellite data for a region of interest.
  • Apply zonal statistics to calculate the percentage change of tree cover for each administrative unit in the region.
  • Compare the results for different years and identify the areas with the most significant changes in tree cover.
  • Visualize the results using ggplot2

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This repo demonstrates how to apply zonal statistics to Sentinel-2 10m Land Use/Land Cover Time Series satellite data to compute and visualize tree cover change between 2018 and 2022 using R.

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