Analysing LST and Uncertainties: Insights from ESA CCI Data
Training Description
This training session, held via a live video at the LST_CCI 2024 Workshop in Leicester, UK, explored the use of Land Surface Temperature (LST) CCI and Land Cover CCI data to analyse urban heat islands in Leicestershire, UK. It covered trends in land surface temperature across urban and non-urban areas, techniques for assessing uncertainties in LST CCI data, and interpreting relevant quality flags.
Training Objectives and Topics:
- Access and visualise LST data for Leicestershire using the ESA CCI toolbox.
- Filter and Select LST Data
- zarr & kerchunk & NetCDF format
- Defining the Region of Interest (Leicestershire)
- LST data basing on polar-orbiting satellites
- ploting the climatology data
- Analyse urban heat islands in Leicestershire by comparing urban and non-urban areas.
- Land Cover (LC) data
- Downsample LC data to match the grid resolution of LST data
- Identify urban and non-urban grid points
- Compare urban and non-urban grid points
- Explore uncertainties in LST data and interpret quality flags.
- Discussion on Uncertainties in LST Data
- Step 1: Visualize Total Uncertainty
- Step 2: Compare Uncertainty Components
- Step 3: Contribution to Total Uncertainty
- Step 4: Temporal Trends in Uncertainties
You can watch the recording of the training session in the video above and access the Jupyter Notebook through the link below.
Access the training resources via Github
Useful Links