eopf-toolkit/eopf-101
Feb 2026 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Jupyter NotebookJupyter NotebooksPythondata analysisdata visualizationgeospatial analysis
Beatriz Peres
PROFILE
Beatriz Peres
Contributed to the eopf-toolkit/eopf-101 repository by developing and refining Jupyter Notebook-based workflows for geospatial flood-mapping analysis using Python. Focused on enhancing Sentinel-1 calibration and backscatter visualization, the work introduced improved calibration methods and updated use cases to increase accuracy and reliability in flood-mapping scenarios. Refactored notebooks for clarity and maintainability, standardizing variable formats and cleaning outputs to support reproducibility. Addressed environment and merge issues to streamline collaboration. Further improvements included enabling Jupyter Lab compatibility by adjusting imports, data loading, and plotting functions, which reduced setup friction and ensured robust, cross-environment execution for data analysis and visualization tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
1,025
Activity Months2
Your Network
9 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on delivering notebook-friendly enhancements for the eopf-toolkit/eopf-101 repository, with a dedicated emphasis on Jupyter Lab compatibility, reliability improvements, and cross-environment readiness.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on delivering notebook-friendly enhancements for the eopf-toolkit/eopf-101 repository, with a dedicated emphasis on Jupyter Lab compatibility, reliability improvements, and cross-environment readiness.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for repository eopf-toolkit/eopf-101: Delivered core feature improvements to Sentinel-1 calibration and backscatter visualization for flood-mapping notebooks, enhanced end-user clarity, and strengthened notebook maintainability. Work focused on notebooks 22 and 23, including refined calibration methods for Sentinel-1 GRD data, improved rendering strategies, and an updated flood-mapping use case to boost backscatter calibration accuracy. Cleaned notebook outputs and improved reproducibility; resolved environment/merge issues to support smoother collaboration. Implemented via commits 70e863519b77245c5a5d25779d965b74eb6c4a12 and 362370c101facffa44f9bbfc8b087cd79d4c4159.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for repository eopf-toolkit/eopf-101: Delivered core feature improvements to Sentinel-1 calibration and backscatter visualization for flood-mapping notebooks, enhanced end-user clarity, and strengthened notebook maintainability. Work focused on notebooks 22 and 23, including refined calibration methods for Sentinel-1 GRD data, improved rendering strategies, and an updated flood-mapping use case to boost backscatter calibration accuracy. Cleaned notebook outputs and improved reproducibility; resolved environment/merge issues to support smoother collaboration. Implemented via commits 70e863519b77245c5a5d25779d965b74eb6c4a12 and 362370c101facffa44f9bbfc8b087cd79d4c4159.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
JupyterJupyter NotebookJupyter NotebooksPythonPython programmingdata analysisdata visualizationgeospatial analysis
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