CALLISTO Data Repository – Empowering AI4EO Figure 1: Overview of the CALLISTO data repository Ensuring data availability for Artificial Intelligence applications Artificial Intelligence has been consistently gaining ground as a main enabler in our attempts to address modern socio-economic problems. Machine Learning (ML) and Deep Learning (DL) models are continuously developed, […]
Deep Learning-based Paddy Rice Mapping As a baseline for contributing to Common Agricultural Policy (CAP), large scale monitoring of agricultural land is important to identify the distribution of agricultural activities. In this context, our research aimed to exploit state-of-the-art deep learning techniques and develop a paddy rice classification model that produces robust early […]
Deep learning algorithms in environmental software – a practical application of neural networks in air quality forecasting Since ancient times, humans have been fascinated with predicting the future. Controlling unknown variables has shaped our mental evolution in a number of ways, and can be considered to be one of the reasons of our “successful” […]
From in-situ sensing to remote sensing – the role of Earth Observation in water quality monitoring On the 19th April 2022 it was a sunny day in the North of Italy; it was a perfect day to perform the first water quality monitoring campaign over the lagoon basins, foreseen in the CALLISTO project. The […]
Land Border Change Detection: A Novel framework based on Sentinel 2 data to support Imagery Analysis Thanks to the Sentinel missions nowadays, there are terabytes of available data with a free, full and open data policy adopted for the Copernicus programme. These data can be applied in several thematic or cross-cutting domains. The huge amount […]
UAVs: Towards the enhancement of Earth Observation data In recent years, a lot of effort has been put into the field of Aerial Robotics by the research community as well as the industry, displaying a sharp acceleration. This effort has immediately started to bear fruit which is evident from the wide range of new […]
How do hyperspectral sensors monitor water quality? Above-water hyperspectral sensors collect, just above the water surface, irradiance and radiance spectra at a very fine spectral resolution for the computation of the water reflectance or, also called, the water colour. When mounted on autonomous pointing systems, such as the PANTHYR1 and HYPSTAR2, these sensors provide […]
Monitoring algae blooms in drinking water reservoirs De Watergroep delivers drinking water to more than 3 million customers in Flanders, Belgium. Both groundwater and surface water are used as a raw source for drinking water production, depending on the availability in the region where production is required. In the west of Flanders, the geology […]
Highly interoperable & secured Big Data platform for high-performance deployment of Copernicus AI Services & data fusion Earth Observation (EO) satellite missions continuously provide very high resolution satellite data, which combined with heterogeneous sources and advanced Artificial Intelligence (AI) solutions that improve information quality, enable new capabilities for monitoring human activity and the […]
Artificial Intelligence for Earth Observation – Data Availability As we move towards the end of the first quarter of the 21st century, we are continuously witnessing the effects of climate change and the growing global population. There are a multitude of ways in which such issues are impacting the sustainability of life on Earth, […]
The CALLISTO Knowledge Graph The CALLISTO project aims to bridge the gap between Copernicus Data and Data and Information Access Service (DIAS) providers and users in different domains by providing AI solutions that effectively add value to large amounts of satellite data. The question is how to define the relationships between the data defined […]
Semantic Inference and Smart Analytics The emergence of semantic data representation in the form of RDF (Resource Description Framework) has enormously influenced many AI-based technologies and services. Among them, Knowledge Graphs (KGs) became the leading technology for knowledge representation and management in the past decades. In particular, KGs made inference and derivation of new […]
Optimizing Datacenters for High Performance Computation The management of large computing systems and datacenters is becoming increasingly complex. On the one hand, these infrastructures are becoming more diverse and consist of different kinds of computers and hardware platforms in order to handle applications with different needs. For example, graphics processing units (GPUs) are widely […]
Variety of Opportunities for Satellite Imagery One might wonder, what makes the work on CALLISTO so special? A look at the envisage application provides some answers: There is a variety of options on how satellite imagery in combination with Artificial Intelligence (AI) can be applied. This is also reflected in the very diverse set […]
Multimedia analysis in CALLISTO During the last decades we have witnessed an accelerating research interest in multimedia content analysis, with a vast number of applications in all aspects of our daily lives. The objective of multimedia analysis has been to develop automatic methods for high-level description and annotation, using low-level multimedia elements, such as […]
The DIAS, the challenge they respond to and CALLISTO When it all began On 19 May 1998, only a few months after the environmental commitments of the Kyoto Protocol, representatives of the European space industry, under the guidance of the European Commission, signed a declaration known as the Baveno Manifesto, inviting Europe to organize […]
