Digitalization
of Hydrometeorological
Measuring Systems
Research projects DMeStHyA and NIQKI and intelligent data analysis
Project Development
DMeStHyA
DMeStHyA
Digitalization of Hydrometeorological Measuring Stations
- ✓Sensors
- ✓Cloud Infrastructure
- ✓Monitoring
© LANUKNIQKI
NIQKI
AI-based Quality Control of Precipitation Data
- ✓Machine Learning
- ✓Data Analysis
- ✓Plausibility Verification
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NIQKI18. Juni 2026
NIQKI-Projekt bei Women in Data Science Regensburg 2026 vorgestellt
Dr. Viktoriya Tarasyuk und Dr. Natalia Zhukova von der Hochschule Hof präsentierten bei Women in Data Science Regensburg 2026 Zwischenergebnisse des Projekts NIQKI und betonten die Bedeutung KI-gestützter Qualitätskontrolle für Niederschlagsdaten.
weiterlesen →Joint Research Objectives
Both projects jointly pursue the goal of capturing and utilizing hydrometeorological data more efficiently.
Research Objectives
Digitalization & Modernization of Hydrometeorological Measuring Networks
- Digitalization and Modernization of Hydrometeorological Measuring Networks
- Development of Standardized Technical Infrastructures for Measuring Stations
- Integration of Measurement Data into Cloud-based Data Platforms
- Automated Analysis and Quality Control of Measurement Data
- Utilization of Data for Forecasts and Decision-making Processes
Practical Significance
Water Management, Environmental Monitoring and Infrastructure
Hydrometeorological data play a central role in numerous social and economic applications:
- Flood and Heavy Rainfall Monitoring
- Climate Analysis and Environmental Observation
- Agricultural Irrigation and Land Use Management
- Infrastructure Planning and Risk Assessment
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Verbundene Projekte
heavyRAINEntwicklung einer KI-Starkregenfrüherkennung mit Hilfe von IoT-, Radar- und SatellitendatenMore Info →
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Fields of Application
Areas of use for the developed technologies and data platforms
Flood and Heavy Rainfall Monitoring
Environmental and Climate Observation
Agricultural Water Management
Data-driven Decision Support
