Lesson 5 overview
=================

During this lesson we will learn to work with Raster data, the other commonly used GIS data type:

1. :doc:`Working with Raster data <raster>`
2. :doc:`Calculating NDVI and Hillshading <earthpy>`

Learning goals
--------------

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


Sources
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Following materials are partly based on documentation of `RasterIO <https://rasterio.readthedocs.io/en/stable/>`_, `RasterStats <https://pythonhosted.org/rasterstats/>`_ , the high-level `EarthPy package <https://earthpy.readthedocs.io/en/latest/gallery_vignettes/index.html>`_ and the underlying GIS powerhouse library
`GDAL <https://gdal.org/tutorials/raster_api_tut.html>`_.

The lesson also reuses materials from The Carpentries licensed under CC-BY 4.0 2018–2020 `from Introduction to Geospatial Concepts course <https://datacarpentry.org/organization-geospatial>`_.