Lesson 5 overview¶
During this lesson we will learn to work with Raster data, the other commonly used GIS data type:
After this lesson’s lesson you should be able to:
understand the Raster data model, and the difference to vector/feature data
load and analyse raster datasets with RasterIO and RasterStats
do raster algebra, basic satellite data processing (NDVI) and hillshading with EarthPy
plot, extract and save raster data files
Following materials are partly based on documentation of RasterIO, RasterStats , the high-level EarthPy package and the underlying GIS powerhouse library GDAL.
The lesson also reuses materials from The Carpentries licensed under CC-BY 4.0 2018–2020 from Introduction to Geospatial Concepts course.