A5070363123- Environmental Monitoring and Data Management
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Scientific Computing and Data Management
- Advanced Computational Techniques and Applications
- Research Data Management Practices
- Geographic Information Systems Studies
- Open Education and E-Learning
- Biomedical and Engineering Education
- Experimental Learning in Engineering
- Online and Blended Learning
- Astronomical Observations and Instrumentation
- IoT and Edge/Fog Computing
- Conservation Techniques and Studies
- Innovative Teaching Methods
- Air Quality Monitoring and Forecasting
- Data Management and Algorithms
- Geophysics and Gravity Measurements
- Digitalization, Law, and Regulation
- Public Relations and Crisis Communication
- Modeling and Simulation Systems
- Engineering Education and Pedagogy
- German Security and Defense Policies
- Intelligent Tutoring Systems and Adaptive Learning
- Context-Aware Activity Recognition Systems
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
2013-2024
Information Technologies Institute
2018
Centre for Research and Technology Hellas
2018
Wageningen University & Research
2000-2010
Understanding and managing the Earth System requires sustainable, interdisciplinary approaches to data accessibility, integration, processing. To address these challenges, we present a modular scalable digital ecosystem designed enhance earth science support multidisciplinary applications [1]. Adhering FAIR as well research software principles, system employs standardized interfaces, open-source technologies foster collaboration across disciplines, extending beyond Sciences.The comprises...
In environmental sciences, observational data remains indispensable for monitoring and understanding of natural processes, validating earth system models remote sensing products, training driven methods. However, unified standards interfaces ensuring that such is consistently available, usable, compliant with FAIR Open Science principles are still lacking.The so-called DataHub initiative the Helmholtz Research Field Earth & Environment, involving seven large research Centers across...
Spatial Data Infrastructures (SDI) established during the past two decades “unlocked” heterogeneous geospatial datasets. The European Union INSPIRE Directive laid down foundation of a pan-European SDI where thousands public sector data providers make their data, including sensor observations, available for cross-border and cross-domain reuse. At same time, SDIs should inevitably adopt new technology standards to remain fit purpose address in best possible way needs different stakeholders...
Spatial Data Infrastructures (SDI) established during the past two decades ’unlocked’ heterogeneous geospatial datasets. The European Union INSPIRE Directive laid down foundation of a pan-European SDI where thousands public sector data providers make their available for cross-border and cross-domain reuse. At same time, SDIs should inevitably adopt new technology standards in order to remain fit purpose address best possible way needs different stakeholders (government,...
Abstract An objective of the Process Technology curriculum at Wageningen University is to teach students a stepwise modeling approach in context process engineering. Many process‐engineering have difficulty with learning design model. Some common problems are lack structure activity, “getting lost” abundance available mathematical equations that describe similar processes different situations and correctly typing into software. To reduce these there need for set educational tools support...
Abstract A bioprocess engineer should have at least a set of basic design skills. Bioprocess is complex cognitive skill, which be trained in every year an academic Bioprocess-Engineering curriculum. However, there little existing learning material to support the initial training skills early For this reason web-based DownStream Process Design environment has been developed, called DSPD. This article describes criteria for development environment. It itself and it gives impression use course...
<p>Climate change (CC) will morph the environmental landscape, thus leading to climate stress imposed on Cultural Heritage (CH). Especially, tangible CH, like castles, palaces, monuments and churches as well gardens are exposed CH effects. Such effects heat waves, flooding, higher sea level, just name a few.</p><p>The management preservation of such buildings whole sites, particularly in context CC, is complex task which authorities decision makers...
One of the objectives process technology curriculum at Wageningen University is that students learn how to design mathematical models in context engineering, using a systematic problem analysis approach. Students find it difficult model and little material exists meet this learning objective. For these reasons, set digital tools has been developed support when models. The enables engineering student do each step approach for designing while providing feedback on actions student. current...
Time-series data are crucial sources of reference information in all environmental sciences. And beyond typical research applications, the consistent and timely publication such is increasingly important for monitoring issuing warnings, especially times growing frequencies climatic extreme events. In this context, seven Centres from Helmholtz Research Field Earth Environment (E&E) operate some largest measurement-infrastructures worldwide. These infrastructures range terrestrial...
Addressing the challenges posed by climate change, biodiversity loss, and environmental pollution requires comprehensive monitoring effective data management strategies that are applicable across various scales in system science. This paper introduces a versatile transferable digital ecosystem for managing time series data, designed to adhere FAIR principles (Findable, Accessible, Interoperable, Reusable). The is highly adaptable, cloud-ready, suitable deployment wide range of settings, from...