Earth Observation Researcher • Geoinformatics • Scientific Software Engineering • Geospatial Data Science
I develop computational methods, geospatial software, and data infrastructures that transform Earth Observation data into scientific insight.
I am an Earth Observation researcher and Geoinformatics specialist with more than six years of experience at the intersection of environmental science, remote sensing, and scientific software engineering.
My work combines satellite remote sensing, environmental modelling, scientific computing, and geospatial software development to support research in climate, disaster resilience, water resources, urban systems, and environmental monitoring.
I enjoy solving complex scientific problems through computational methods and building reproducible research tools that bridge environmental science and modern software engineering.
Currently, I am working as a Research Database Developer (Research Data Management) at the Institute for Technical Physics (ITEP), Karlsruhe Institute of Technology (KIT), where I contribute to the development of research data infrastructures for experimental scientific datasets. My current interests include graph databases, metadata management, knowledge graphs, FAIR data principles, and AI-assisted scientific workflows.
- Quantitative Earth Observation
- Environmental Modelling
- Geospatial Artificial Intelligence (GeoAI)
- Remote Sensing
- Scientific Data Management
- Research Data Infrastructures
- Spatial Databases
- Graph Databases & Knowledge Graphs
- Environmental Time-Series Analysis
- Reproducible Scientific Computing
- Scientific Software Engineering
- Remote Sensing
- GIS & Spatial Analysis
- Climate Modelling
- Hydrological Modelling
- Disaster Risk Modelling
- Land Cover Classification
- Spatial Statistics
- Satellite Image Processing
- Multi-source Geospatial Data Integration
- Python
- Scientific Python
- GeoPandas
- GDAL
- Rasterio
- NumPy
- Pandas
- PyTorch
- TensorFlow
- Jupyter
- Django
- FastAPI
- React
- REST APIs
- PostgreSQL
- PostGIS
- Docker
- Linux
- Git
- Research Data Management (RDM)
- FAIR Data Principles
- Metadata Modelling
- ETL Pipelines
- Graph Databases
- Knowledge Graphs
- Scientific Databases
- 🌍 Quantitative Earth Observation
- 📡 Scientific Data Infrastructures
- 🛰 Multi-source Earth Observation Data Integration
- 🗄 Graph-based Research Data Management
- 🤖 AI-assisted Scientific Workflows
- ☁ Scalable Geospatial Computing
- Radiative Transfer Modelling
- Environmental Process Modelling
- Graph Neural Networks
- Knowledge Representation
- Agentic AI for Scientific Research
- Distributed Geospatial Computing
- 🌍 Climate Change Modelling using CMIP5 Global Climate Models
- 🌊 Flood Risk & Hydrological Modelling
- 🛰 Earth Observation Workflows
- 📡 STAC & Cloud-Optimized Geospatial Data
- 🌱 Soil Moisture Estimation using Deep Learning
- 🏙 Urban GIS & Spatial Planning
- 🗄 Research Data Management Systems
- 🌐 Geospatial Decision Support Systems
📍 Karlsruhe, Germany
💼 LinkedIn: https://www.linkedin.com/in/iqranazraja