From the course: Geospatial Raster Data Analytics in Python
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Reprojecting raster data - Python Tutorial
From the course: Geospatial Raster Data Analytics in Python
Reprojecting raster data
- [Instructor] In the geospatial data analytics essential training, we explored the concept of coordinate reference systems shortly, CRS, which encode the mathematical rules of how to map the three-dimensional globe onto two dimensional surfaces, such as maps and computer screens. CRS is a great technological framework to adapt and align spatial datasets to various specific locations by using the process called reprojection. In this video, we will learn how to do reprojection on raster data by reprojecting the previously prepared Germany level population and elevation raster files from their default global CRS to the local CRS of Germany. First, we import the usual rasterio library, and from the rasterio library, we will need two further functions, which we'll learn later on how we can utilize. (keyboard clicking) Now let's define the two input raster files, which are the files we previously prepared. Now we shall read these two files, and since they are single-banded raster files, we…
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Contents
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Prepare real-world raster data3m 35s
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Elevation raster data4m 48s
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Reprojecting raster data8m 57s
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Resampling raster data6m 20s
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Create multiband raster data4m 16s
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Applying simple functions on raster data: Part 13m 48s
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Applying simple functions on raster data: Part 23m 57s
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Applying simple functions on raster data: Part 34m 33s
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Applying complex functions on raster data4m 55s
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