Training Description
In October 2017, a series of devastating wildfires swept across northern Portugal and northwestern Spain, burning more than 500,000 hectares in Portugal alone. What made these fires so extreme? In this notebook, you'll investigate that question using satellite observations from ESA's Climate Change Initiative (CCI). By exploring Fire, Soil Moisture, Land Surface Temperature, and Biomass datasets, you'll examine the environmental conditions that preceded the fires, analyse the climate anomalies associated with the event, and quantify its impact on the landscape.
Training Objectives and Topics
Prerequisites: Basic Python familiarity and some experience with NumPy or pandas. No prior experience with satellite data is required. Estimated time: ~2 hours
By working through this notebook, you will:
- Learn to access and visualise ESA-CCI’s ECVs
- Explore ESA-CCI’s Fire data to analyse patterns across the Iberian Peninsula in 2017
- Analyse ESA-CCI’s Soil Moisture anomalies to assess pre-fire drought conditions
- Examine ESA-CCI’s Land Surface Temperature anomalies during the fire period
- Quantify ESA-CCI’s Biomass loss caused by the fires using before/after comparisons
By the end of this notebook, you will be able to:
- load and subset ESA CCI satellite datasets
- calculate climatological anomalies
- do a temporal aggregation a dataset
Training Materials
To follow along with the training, you can view the Jupyter Notebook in read-only format below. To interact with or modify the content, you can fork the repository from the GitHub page or download the notebooks to your local environment.
Useful links