https://github.com/bymaxanjos/eddy-covariance-gap-filling-system
An interactive platform for processing, filling, and evaluating gaps in flux tower datasets using Machine Learning models.
https://github.com/bymaxanjos/eddy-covariance-gap-filling-system
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Repository
An interactive platform for processing, filling, and evaluating gaps in flux tower datasets using Machine Learning models.
Basic Info
- Host: GitHub
- Owner: ByMaxAnjos
- Language: Python
- Default Branch: main
- Homepage: https://eddy-gap-filling.streamlit.app/
- Size: 10.1 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Eddy Covariance Gap-Filling System 🌱
🚀 An interactive platform for processing, filling, and evaluating gaps in any time series - including flux tower datasets, using Machine Learning.
This app provides an end-to-end solution for working with time serie data, including:
✅ Uploading and preprocessing diverse enviromental and enery time series and raw flux tower data such as FLUXNET, AmeriFlux, and ICOS.
✅ Training gap-filling models using advanced ML techniques (XGBoost, Random Forest).
✅ Visualizing filled vs. original data interactively.
✅ Evaluating model performance (MAE, RMSE, R²).
✅ Advanced flux visualization.
🌍 Supported Datasets
| Dataset | Description | |------------|------------------------------------------------------------------------------------------------------| | FLUXNET | Global network of micrometeorological tower sites measuring ecosystem fluxes. | | AmeriFlux | North and South American flux data on ecosystem–atmosphere exchanges. | | ICOS | Integrated Carbon Observation System: harmonized GHG flux data across Europe. | | Diverse Enviromental and Energy Data | Meteorological, climate reanalysis, remote sensing, hidrology, energey generatation and etc. |
🔧 Features
- Modular machine learning architecture with fallback models
- Deployable via Streamlit Cloud
🌐 Live App
👉 Try it here: eddy-gap-filling.streamlit.app
📦 Setup
```bash git clone https://github.com/ByMaxAnjos/eddy-covariance-gap-filling-system.git cd eddy-covariance-gap-filling-system pip install -r requirements.txt streamlit run app/eddy_app.py
Owner
- Name: ZoomCityCarbonModel
- Login: ByMaxAnjos
- Kind: user
- Location: Berlin, Germany
- Company: Technische Universität Berlin
- Repositories: 4
- Profile: https://github.com/ByMaxAnjos
GitHub Events
Total
- Push event: 8
- Create event: 2
Last Year
- Push event: 8
- Create event: 2
Dependencies
- matplotlib *
- numpy *
- pandas *
- pathlib *
- plotly *
- requests *
- scikit-learn *
- scipy *
- seaborn *
- streamlit *
- streamlit-extras *
- streamlit-lottie *
- streamlit-option-menu *
- xgboost *