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Mapping crops accurately has always been a challenging task in remote sensing. Traditionally, analysts had to combine multiple steps: time-series modelling of vegetation indices, fusing optical and radar data, integrating climate information, and finally validating with costly field surveys. Even then, results often contained noise, required post-processing, and were limited Read more
I recently had the opportunity to work closely with one of the most exciting new datasets in Earth Engine: Google’s Satellite Embeddings, produced by Google DeepMind’s AlphaEarth Foundations model. This is not just another dataset — it represents a new way of working with Earth observation. Unlike traditional task-specific models, Read more
The Earth Observation (EO) industry is entering a new era shaped by Artificial Intelligence (AI). At the centre of this change are foundation models—large, pre-trained AI models capable of learning from vast global datasets and being applied almost anywhere in the world. These models promise to move EO from being Read more
As the UK Government moves to merge the UK Space Agency into the Department for Science, Innovation and Technology, the change is framed as a step towards efficiency, accountability, and growth. Yet behind the rhetoric of “cutting red tape” lies a more complex question: will this restructuring truly strengthen Britain’s space ambitions, or risk undermining the independence and expertise that have underpinned the sector’s progress to date?