Forecasting Vegetation Conditions Indicators in Africa

Welcome to the last BrightonPy event of the year!

We are pleased to have Chloe Hopling and Dave Bottrill speak at our last event of the year, alongside the opportunity to chat with our community over pizza and drinks.

Chloe, a Data Scientist and Research Fellow at the University of Sussex, will be sharing her work on ‘Forecasting vegetation condition indicators for pastoral communities in the Greater Horn of Africa’. She will be telling us how they have developed a python based pipeline, AstroCast, for forecasting vegetation condition using earth observation data and machine learning regression techniques.

The goal of this project to use these forecasts in drought early warning systems to potentially reduce the human and financial impact of droughts in the region. Python is used throughout the AstroCast pipeline and the talk will cover the key steps in the pipeline including, processing geospatial data, forecasting with Gaussian process regression and data visualisation.

Dave’s talk will help with ‘Writing Python extensions in Rust’, the full content tbc, and Laura Mawer, Data Science Consultant from Datacove will be sharing a recap of EARLconf 2024.

As ever, we will have pizzas, refreshments, and opportunities to chat throughout the evening, and will be livestreamed if you are not able to make it.

Looking forward to seeing you there!

Do you fancy speaking at a Brighton Py event? Get in touch if you have Python knowledge and a story to share.

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