Knowledge Centre on Earth Observation

The European Commission presented today its new European Internal Security Strategy, a unified approach that facilitates coordinated action and deepens cooperation amongst EU countries...

One of the most limiting factors in applying AI to EO is the complex and labour-intensive process of gathering and labelling EO data. This process is time-consuming and expensive, often requiring domain...

At a glance: What you need to know Climate finance commitment: COP29 saw agreement to triple climate finance to $300 billion annually by 2035, falling short...

This workshop on Foundation Model for Earth Observation and Earth Sciences aims to address these challenges by bringing together experts from AI, geospatial science, climate, weather and Earth...

The EO4EU project aims to improve access to and use of Earth Observation (EO) data for a wide range of users, from professionals to the general public, through the use of innovative tools...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after...

ECMWF is coordinating an EU Horizon project called WeatherGenerator which aims to use machine learning in novel ways for weather forecasting and to model related Earth system...

Sen2Cor is the official ESA Sentinel-2 ground segment processor which performs atmospheric correction of Top of Atmosphere images (L1C) to return several outputs, including Surface...

As of today, climate models face the challenge of providing the high-resolution predictions with quantified uncertainties needed by a growing number of adaptation planners, from local decision-makers to the private sector, who...

Earth Observation & Artificial Intelligence Solutions for Climate Change Challenges is the main topic of the third edition of the AI4Copernicus conference.