Treffer: Peter24K2G/UNgroundwater: UNgroundwater v0.1.0 - Groundwater Analysis with Satellite Toolkit (Beta)

🚀 UNgroundwater v1.0.0 Released! We are excited to announce the first official release of UNgroundwater – a Python module designed to process, analyze, and visualize groundwater storage anomalies using GRACE and GLDAS datasets. This release provides a solid foundation for groundwater data analysis with powerful features for data handling, masking, and visualization. 🎯 What's New in v1.0.0 NetCDF Data Processing: Load and process GRACE and GLDAS NetCDF files efficiently. Perform data extraction and transformation with ease. Masking Capabilities: Apply geographic masks using shapefiles for region-specific analysis. Support for custom spatial filtering to improve data accuracy. Groundwater Estimation Functions: Compute groundwater storage anomalies using state-of-the-art methodologies. Integrate multiple data sources to enhance reliability. Visualization Tools: Generate clear and insightful spatial/temporal groundwater plots. Export figures for reporting and analysis purposes. Modular and Extensible: Clean code structure, easy to extend for additional features. Well-documented methods and usage examples. 📥 Installation To install this version, simply run: git clone https://github.com/Peter24K2G/UNgroundwater.git cd UNgroundwater pip install -r requirements.txt 📖 Usage Example from UNgroundwater import groundwater # Load GRACE data data = groundwater.load_netcdf('data/GRACE_data.nc') # Apply region mask masked_data = groundwater.apply_mask(data, 'masks/region.shp') # Visualize the results groundwater.plot(masked_data) 🛠 Known Issues Minor performance optimization needed for large-scale datasets. Additional visualization options to be implemented in future versions. 📈 Future Roadmap We are actively working on enhancing UNgroundwater with upcoming features such as: Improved data interpolation techniques. Automated trend analysis and anomaly detection. Integration with additional satellite datasets. 🙌 Contributing We welcome contributions from the community! If you're interested in improving UNgroundwater, feel free ...