Topic 1D – AI and Machine Learning in the Copernicus Programme

Illustration of vessels observed between Gibraltar and Algesiras on September 2017

ESA / Copernicus Sentinel data, 2017

Detection of vessels from Space made easier by ESA's ɸ-sat-2 mission using AI

contains modified Copernicus Sentinel data (2020), processed by ESA

Kashmir population distribution map produced by Respond, including airports, roads and main lakes, overlaid with earthquake effects from the epicentre outwards.

Respond

This product of an Earthquake in France is derived from the Copernicus Sentinel-1 mission using the acquisitions of 6 and 12 November 2019. The interferogram was generated on GEP with the Diapsaon processing chain from CNES/TRE Altamira.

contains modified Copernicus Sentinel data (2019), processed by ESA

Digital Twin Earth will help visualise, monitor and forecast natural and human activity on the planet. The model will be able to monitor the health of the planet, perform simulations of Earth’s interconnected system with human behaviour, and support the field of sustainable development, therefore, reinforcing Europe’s efforts for a better environment in order to respond to the urgent challenges and targets addressed by the Green Deal.

ESA