21 posts found
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
Exploring space from the ground: open satellite data in Europe and its applications
The value of open satellite data in Europe
Satellites have become essential tools for understanding the planet and managing resources efficiently. The European Union (EU) has developed an advanced space infrastructure with the aim of providing real-time data on the environment, navigation and meteor…
How do you build an artificial intelligence model?
Artificial Intelligence (AI) is no longer a futuristic concept and has become a key tool in our daily lives. From movie or series recommendations on streaming platforms to virtual assistants like Alexa or Google Assistant on our devices, AI is everywhere. But how do you build an AI model? Despite wh…
New geospatial data capture techniques: innovations for more efficient data governance
Geospatial data capture is essential for understanding our environment, making informed decisions and designing effective policies in areas such as urban planning, natural resource management or emergency response. In the past, this process was mainly manual and labour-intensive, based on ground mea…
10 principles for web development and web API design
Web API design is a fundamental discipline for the development of applications and services, facilitating the fluid exchange of data between different systems. In the context of open data platforms, APIs are particularly important as they allow users to access the information they need automatically…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
Complying with Europe. The High Value Sites of Earth Observation and Environment Regulation
The European Commission Implementing Regulation (EU) 2023/138 sets clear guidelines for public bodies on the availability of high-value datasets within 16 months from 20 January 2023. These high-value high value datasets (High value datasets or HVD) are grouped into the following themes, which were…
How to prepare a dataset for machine learning and análisis
In the process of analysing data and training machine learning models, it is essential to have an adequate dataset. Therefore, the questions arise: how should you prepare your datasets for machine learning and analytics, and how can you be confident that the data will lead to robust conclusions and…
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
