7  More on working with raster and vector data

It is quite common that the raster data you have in hand is too large to process, or not all the pixels are relevant to your area of interest (AoI). In both situations, you should consider cropping your raster data before performing data analysis.

In this module, we will introduce how to crop raster data into the desired area. We will use one Sentinel-2 image as the example raster data, and introduce how to crop your data to different types of AoIs.

Our objective are:

• Raster data computations
• Working with nodata values
• Clipping or cropping of raster data

7.1 Readings and Resources

• GCwP - Section 3.3: Spatial operations on raster data
• GCwP - Section 4.3: Geometric operations on raster data

7.2 Introduce the data

We will use the image file that we downloaded and saved from the last notebook. You can find the T17TLH_20240401T162831_TCI_10m.tif file in data folder in the compressed file you downloaded in the first section of this module.

7.2.1 Activities

Launch Jupyter lab and open the ou_land_use_06_raster_work.ipynb file. Work your way through it.