A5051374473- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Cloud Computing and Resource Management
- Climate variability and models
- Big Data Technologies and Applications
- COVID-19 impact on air quality
- Geochemistry and Geologic Mapping
- Remote-Sensing Image Classification
- Geological Studies and Exploration
- Data Visualization and Analytics
- African Botany and Ecology Studies
- Methane Hydrates and Related Phenomena
- Geological Modeling and Analysis
- Big Data and Business Intelligence
- Air Quality Monitoring and Forecasting
- Smart Cities and Technologies
- COVID-19 Pandemic Impacts
- Advanced Computational Techniques and Applications
- Research Data Management Practices
- IoT and Edge/Fog Computing
- Geological and Geophysical Studies
- Geographic Information Systems Studies
- Earthquake Detection and Analysis
European Space Research Institute
2021-2024
European Centre for Space Applications and Telecommunications
2024
European Space Agency
2021
The development of accurate precipitation products with wide spatio-temporal coverage is crucial for a range applications. In this context, data merging (PDM) that entails the blending satellite-based estimates ground-based measurements holds prominent position, while currently there an increasing trend in deployment machine learning (ML) algorithms such endeavors. light recent advances field, work discusses key aspects PDM problem associated with: a) conceptual formulation problem, closely...
Abstract Recent advancements in Earth system science have been marked by the exponential increase availability of diverse, multivariate datasets characterised moderate to high spatio-temporal resolutions. System Data Cubes (ESDCs) emerged as one suitable solution for transforming this flood data into a simple yet robust structure. ESDCs achieve organising an analysis-ready format aligned with grid, facilitating user-friendly analysis and diminishing need extensive technical processing...
Progress in Earth system science is accelerating rapidly, due to the increasing availability of multivariate datasets, often global, with moderate high spatio-temporal resolutions. Turning these data into knowledge presents interoperability, technical, analytical, and other challenges. System Data Cubes (ESDCs) have surfaced as essential tools, offering analysis-ready, cloud-optimised solutions. Coupled advancements Artificial Intelligence (AI), solutions potential release a wealth...
Abstract. The "Cubes and Clouds" Massive Open Online Course (MOOC) addresses the growing challenges opportunities in Earth Observation (EO) data analysis posed by exponential growth of satellite missions volumes. This course introduces cloud-native EO concepts open science principles, facilitating collaboration sharing within community.Key topics covered MOOC include discovery, processing workflows, using real-world examples like snow cover mapping Alps. Participants engage with interactive...
The Deep Earth System Data Lab (DeepESDL, https://earthsystemdatalab.net) provides an AI-ready, collaborative environment enabling researchers to understand the complex dynamics of using numerous datasets and multi-variate, empirical approaches. solution builds on work done in previous projects funded by European Space Agency (CAB-LAB ESDL), which established technical foundations created measurable value for scientific community, e.g., Mahecha et al. (2020,...
The EarthCODE vision will provide a cloud-based, user-centric development environment which can be used to support ESA science activities and projects. Our solution is built around existing open-source solutions building blocks, primarily the Open Science Catalogue, EOxHub Exploitation Platform Common Architecture (EOEPCA+). capability hosted on Copernicus Data Space Ecosystem (CDSE). Because adopt federated approach, it also facilitate processing other platforms, these may include Deep...
Earth Observation scientists are confronted with unprecedent data volumes that constantly growing as the number of satellite missions increases, well spatial and temporal resolution do. Traditional working modes, such downloading processing it on a local computer, do not apply anymore EO science is moving quickly towards cloud technologies open practices. Even though these new practices evolving becoming community standard, there much educational material available to educate next generation...
Recent advancements in Earth system science have been marked by the exponential increase availability of diverse, multivariate datasets characterised moderate to high spatio-temporal resolutions. System Data Cubes (ESDCs) emerged as one suitable solution for transforming this flood data into a simple yet robust structure. ESDCs achieve organising an analysis-ready format aligned with grid, facilitating user-friendly analysis and diminishing need extensive technical processing knowledge....
Abstract. The Deep Earth System Data Lab (DeepESDL) provides an AI-ready, collaborative environment for researchers aiming to study the Earth's complex dynamics using various datasets and empirical approaches. Recently opened Early Adopters, it builds on projects like CAB-LAB ESDL, utilizing well-established Python Julia technology stacks. DeepESDL offers programmatic access extensive analysis-ready data cubes computational resources, enabling focus analysis without preparations. Scientists...
Abstract. Earth Observations (EO) have become crucial for advancing climate and System research, enabling significant scientific discoveries. Advanced EO missions, such as ESA’s Explorers the EU's Copernicus Programme, provide vast data volumes continuous global observations with cutting-edge technology, a vital resource understanding processes interactions within Earth's sub-systems, offering critical evidence of change impacts on society ecosystems. Open access to products has been...
Abstract. Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community-contributed science technology. The FAIR principles provide essential support implementing Science, offering guidelines how researchers adapt their EO practice enable that work (taking place increasingly in cloud) results are...
Understanding deforestation drivers is important for climate change mitigation, forest management and effective control measures. Charcoal production thought to be one of the main degradation in many Sub-Saharan Africa (SSA) regions. Due difficulty detect it, industry impact highly uncertain. In this paper we explore means improve understanding due charcoal SSA by leveraging capacity large area systematic observation Copernicus Sentinel-1 Sentinel-2 satellites. We utilise SAR (Synthetic...
The measures to contain the Covid-19 pandemic have had worldwide impacts on our environment, societies and economies. 'COVID-19 Earth Observation Dashboard' (https://eodashboard.org) jointly developed by ESA, NASA JAXA, combines a wealth of data from tri-agencies' Earth-observing satellites monitor COVID-19. Developed in an Open Science framework, dashboard is openly available users allows track changes air water quality, climate, economic activity agriculture.
The COVID-19 pandemic has brought difficulties to daily lives and caused various changes in socio-economic activities the social environment. Since satellite-based Earth observation allows us monitor Earth's surface globally periodically with physical parameters, as space agencies, it is our responsibility of from space, share results public, record them for future generations. Aiming fulfill this obligation, JAXA cooperated NASA ESA develop Observing Dashboard, which provides information on...
With Earth Observation (EO) missions generating tens of TB data every day, much it available in a free and open manner, systematically observing our planet, the opportunities for society to benefit from this are endless. There are, however, remaining challenges reusability, reproducibility, scalability scientific analysis run on EO data. This often results interesting findings addressing situation year or two ago, due time required validation
The Massive Open Online Course – Earth Observation Data Science (MOOC EOODS) teaches the concepts of data cubes, cloud platforms, and open science in context (EO). course is designed to bridge gap towards recent native advancements EO by offering a MOOC as an integrated learning experience relying on mixture animated lecture content hands-on exercises hosted themed e-learning platform College.
International collaboration among space agencies is central to the success of satellite Earth observations and data analysis, aiming at providing an accurate timely information decision-makers, main stakeholders public. These partnerships foster more comprehensive measurements, robust datasets, cost-effective missions. The European Space Agency (ESA), Japan Aerospace Exploration (JAXA), National Aeronautics Administration (NASA) have combined their resources, technical knowledge, expertise...
This paper introduces the Rapid Action for Coronavirus and Earth Observation, a joint ESA-EC initiative to showcase applications of Observation data derived from Copernicus Sentinels Third Party Missions generate timely information with societal interest on changes observed during coronavirus pandemic lockdown post periods European economy, agriculture, air quality, water quality land. All indicators are based Sentinel by capitalizing EO Platforms advanced Artificial Intelligence as key...