Hands-on exercise: LCZ and air temperature analysis with QGIS

This tutorial will focus on the use of Copernicus data for assessing local differences in air temperature according to land-use features within highly urbanized areas.

Through a computer exercise, you will analyse the case of Milan (Italy) using air temperature data from the Copernicus Climate Change Service (C3S) and the Local Climate Zones (LCZ) map of the city, derived from Sentinel-2 imagery.

You will learn how to access and download C3S data and how to process them in QGIS to obtain a quantitative insight into the LCZ influence on air temperature. The question you are going to answer with this exercise is “Can we observe and quantify differences in the average air temperature within different LCZ of a city?”

Important

Basic knowledge of QGIS and raster data analysis is required. Before starting, you have to install QGIS 3.10 (or higher) on your machine and create a personal account to access C3S data.

Table of Contents

• Copernicus Climate Change Service
  • Climate Data Store
• Local Climate Zones
• Hands-on Exercise with QGIS
  • Materials
    • LCZ map
    • Air temperature data
    • Software tools
  • Data Processing
    • netCDF preprocessing
    • Raster zonal statistics
  • Results