dataforgoodfr/13_brigade_coupes_rases
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
ContextilyData VisualizationEarth Engine APIFoliumGeopandasGeospatial Analysis
FS-CS
PROFILE
Fs-cs
Developed end-to-end geospatial visualization capabilities for the dataforgoodfr/13_brigade_coupes_rases repository, focusing on mapping and analyzing forest clear-cuts. Delivered demonstration Jupyter notebooks that enable users to plot detected clear-cuts on interactive maps with integrated basemaps and visualize changes over custom date ranges. Leveraged Python, Geopandas, and Matplotlib to support geospatial analysis and data visualization, while updating project dependencies to ensure compatibility with SuFoSaT and DIST-ALERT datasets. Introduced code scaffolding for rapid experimentation with alert data, streamlining prototyping and stakeholder demonstrations. The work enhanced data-driven forest monitoring and supported the development of alert-based geospatial workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,787
Activity Months1
Your Network
19 peopleShared Repositories
19
Adrien DelannoyMember
GitTom-altMember
Alice de BernyMember
sbailleulMember
Valentin CalafellMember
vaCalafellMember
CelineCanopeeMember
Cindy DelageMember
Austin FloresMember
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_brigade_coupes_rases focusing on geospatial visualization capabilities for forest clear-cuts. Delivered end-to-end demonstration notebooks enabling geospatial analysis, mapping of detected clear-cuts with basemaps, and date-range visualization. Updated project dependencies to include geospatial and plotting libraries, improving reproducibility and compatibility with SuFoSaT data and DIST-ALERT samples. The work enhances situational awareness for forest monitoring and supports rapid prototyping of alert-based workflows.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for dataforgoodfr/13_brigade_coupes_rases focusing on geospatial visualization capabilities for forest clear-cuts. Delivered end-to-end demonstration notebooks enabling geospatial analysis, mapping of detected clear-cuts with basemaps, and date-range visualization. Updated project dependencies to include geospatial and plotting libraries, improving reproducibility and compatibility with SuFoSaT data and DIST-ALERT samples. The work enhances situational awareness for forest monitoring and supports rapid prototyping of alert-based workflows.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
ContextilyData VisualizationEarth Engine APIFoliumGeopandasGeospatial AnalysisJupyter NotebooksMatplotlibPythonRasterio
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline