3: Raster Spatial Data with Python

Due before 9am on April 27

10 points

1. Create a GitHub repository called gisc606-lab3 in your GitHub account using github/codespaces-jupyter as a template repository

2. Open your repository in a GitHub Codespace

3. Create a Jupyter Notebook for and complete each of the following lessons from Earth Lab CU Boulder's Intermediate Earth Data Science textbook

   1. Open, Plot and Explore Raster Data with Python and Xarray: intro_to_raster.ipynb

   2. Plot Histograms of Raster Values in Python: plot_histograms.ipynb

   3. Spatial Raster Metadata: CRS, Resolution, and Extent in Python: metadata.ipynb

   4. About the Geotiff (.tif) Raster File Format: Raster Data in Python: geotiff.ipynb

   5. Test Your Skills: Open Raster Data Using RioXarray In Open Source Python: test_skills.ipynb

   6. Subtract One Raster from Another and Export a New GeoTIFF: substract_raster.ipynb

   7. Classify and Plot Raster Data in Python: classify_and_plot.ipynb

   8. Crop Spatial Raster Data With a Shapefile in Python: crop_raster.ipynb

4. Commit the changes to your repository

5. Once you are complete with all the lesson notebooks, navigate to Lab 3 assignment in Canvas

6. Input the url of your gisc606-lab3 GitHub repository then click submit