Update plot-neon-rgb-camera-data.md

Add figures, they weren't added through the script
NEONScience · Sep 19, 2023 · 38de550 · 38de550
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diff --git a/tutorials/Python/AOP/RGB-camera/plot-aop-camera/plot-neon-rgb-camera-data.md b/tutorials/Python/AOP/RGB-camera/plot-aop-camera/plot-neon-rgb-camera-data.md
@@ -121,6 +121,8 @@ We can use rasterio's built-in functions `show` to plot the CHM tile.
 show(rgb_dataset);
 ```
 
+![png](https://raw.githubusercontent.com/NEONScience/NEON-Data-Skills/main/tutorials/Python/AOP/RGB-camera/plot-aop-camera/plot-neon-rgb-camera-data_files/plot-neon-rgb-camera-data_13_0.png)
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 ## Plot each band of the RGB image 
 
 We can also plot each band (red, green, and blue) individually as follows:
@@ -134,4 +136,6 @@ show((rgb_dataset, 3), ax=axb, cmap='Blues', title='blue channel')
 plt.show()
 ```
 
+![png](https://raw.githubusercontent.com/NEONScience/NEON-Data-Skills/main/tutorials/Python/AOP/RGB-camera/plot-aop-camera/plot-neon-rgb-camera-data_files/plot-neon-rgb-camera-data_15_0.png)
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 That's all for this example! Most of the other AOP raster data are all single band images, but `rasterio` is a handy Python package for working with any geotiff files. You can download and visualize the lidar and spectrometer derived raster images similarly.