From the course: Geospatial Raster Data Analytics in Python
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Read and characterize real-world raster data - Python Tutorial
From the course: Geospatial Raster Data Analytics in Python
Read and characterize real-world raster data
- In this third chapter of this course, we are going to explore the previously collected global population raster grid and using that example to learn about and gain hands-on experience with various spatial analytics techniques designed for raster data. For instance, we are going to learn about how to read, clip and visualize large scale raster data, as well as learning about how to aggregate them using so-called zonal statistics. In this video, we'll learn how to read and interpret existing real world raster file by building on the skills and technology we picked up during the previous chapter. First, let's import rasterio as usual. Then we define the file we would like to access. Remember, this is the file we downloaded in the video data acquisition. This file, coming from the European Union's Global Human Settlement Layer, contains the global population level, assigning the total number of inhabitants of each pixel to the pixel values. Since this raster file only contains…
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