From the course: Geospatial Raster Data Analytics in Python
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Create multiband raster data - Python Tutorial
From the course: Geospatial Raster Data Analytics in Python
Create multiband raster data
- [Instructor] This video will teach you how to combine the previously prepared Germany level raster data files. Remember, first, we re-projected both files into the local CRS of Germany and then, using resampling, ensured that their spatial resolutions are aligned. Now, we will learn how to combine them into a double-band raster file containing detailed information on Germany. In this video, we are only going to use libraries that we have used before, so just stick to your usual work environment. After taking care of the imports, we collected the input file names and defined the output file as well using the previous terminologies. I'm just copying from the previous notebook. Here, we will have the reprojected_file1 containing the population data of Germany and the aligned_file2, combining the Germany level elevation in a re-projected and resampled way. Finally, I will call the output file as combined_raster.tif. Now, we read the two files with this elegant one-liner Python code and…
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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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