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The lesson talks about important attributes of raster data. The first mentioned is 'extent'. It is probably worth mentioning this is often called a 'bounding box' in widely used geospatial python libraries such as Rasterio
The example given to describe raster extent currently uses points, lines and polygons (i.e. vector data). This might be confusing to newbies.
A suggestion would be to use a raster example for describing raster extent. For example, this picture shows an example of two rasters of the same shape and size (green areas) but with different extents (red lines)
The text was updated successfully, but these errors were encountered:
I like that example a lot @samsammurphy, thanks for the suggestion. I think this image highlights an important common case where extent does not equal data acquired.
Hello, well done on a great course overall!
A couple of minor suggestions on the introduction to raster data.
The lesson talks about important attributes of raster data. The first mentioned is 'extent'. It is probably worth mentioning this is often called a 'bounding box' in widely used geospatial python libraries such as Rasterio
The example given to describe raster extent currently uses points, lines and polygons (i.e. vector data). This might be confusing to newbies.
A suggestion would be to use a raster example for describing raster extent. For example, this picture shows an example of two rasters of the same shape and size (green areas) but with different extents (red lines)
The text was updated successfully, but these errors were encountered: