This hands-on workshop by Imago Data Service for Imagery will introduce you to smart data products derived from satellite imagery and demonstrate how they can be applied to address pressing social and environmental challenges. You will learnhow complex EO-derived data can be transformed into accessible, analysis-ready resources that support practical spatial thinking and evidence-based decision-making.

The session emphasises the role of spatial data in driving meaningful progress for communities and environments. Using data products from Imago, we will provide a guided, practical learning experience built around reproducible geospatial workflows where you will:

Work directly with real-world datasets, exploring how imagery-derived indicators can be integrated with socioeconomic measures to investigate spatial inequalities and inform policy-relevant insights.

Load spatial boundaries, merge satellite-derived indicators with deprivation metrics, generate summary statistics, and create maps that reveal significant spatial patterns.

Learn accessible statistical techniques to support robust interpretation, alongside guided discussion on uncertainty, confounding factors, and the limits of causal inference.

Designed for participants with varied technical backgrounds, the workshop welcomes those new to Earth Observation as well as users experienced with GIS or programming environments such as R or Python. Emphasis is placed on transferable skills, reproducibility, and analytical confidence so that you can adapt the workflow to your own research, teaching, or applied projects.