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
Beatriz Peres contributed to the eopf-toolkit/eopf-101 repository by developing and refining core features for flood-mapping Jupyter Notebooks, focusing on Sentinel-1 calibration and backscatter visualization. She improved calibration methods for Sentinel-1 GRD data, updated use cases to enhance backscatter accuracy, and refactored notebooks for clarity and maintainability. Her work included resolving environment and merge issues, ensuring reproducibility, and enhancing compatibility with Jupyter Lab by adjusting imports, data loading, and plotting functions. Using Python, Jupyter, and geospatial analysis techniques, Beatriz delivered robust, notebook-friendly workflows that improved reliability and usability for data scientists working with remote sensing data.
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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