Extract information from raster layer
Let's now extract information from the raster layer, based on a vector file. This functionality is provided by the rasterstats package. Specifically for this exercise, we will determine the vegetation type at all mining sites, by getting the nearest raster pixel value at each point of the mining site dataset.
A subset of the mining sites dataset (mining_sites) is already loaded, and GeoPandas and matplotlib are already imported.
This exercise is part of the course
Working with Geospatial Data in Python
Exercise instructions
- Import the
rasterstatspackage. - Extract the nearest raster value for the mining site locations (
mining_sites) using therasterstats.point_query()function, and assign this to a new column'vegetation'. - Make a plot of the mining site data using the
'vegetation'column to color the points. Make sure to add a legend.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the rasterstats package
____
# Extract the nearest value in the raster for all mining sites
vegetation_raster = "central_africa_vegetation_map_foraf.tif"
mining_sites['vegetation'] = ____(____, ____, interpolate='nearest')
print(mining_sites.head())
# Replace numeric vegation types codes with description
mining_sites['vegetation'] = mining_sites['vegetation'].replace(vegetation_types)
# Make a plot indicating the vegetation type
____
plt.show()