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
Florent Scarpa developed geospatial visualization capabilities for the dataforgoodfr/13_brigade_coupes_rases repository, focusing on mapping and analyzing forest clear-cuts. He delivered end-to-end demonstration notebooks using Python, Geopandas, and Matplotlib, enabling users to plot detected clear-cuts on interactive maps with integrated basemaps and visualize changes over custom date ranges. Florent updated project dependencies to ensure compatibility with SuFoSaT and DIST-ALERT datasets, improving reproducibility and supporting rapid prototyping. His work provided code scaffolding for alert-based workflows, allowing for quick experimentation and stakeholder demonstrations. The depth of the implementation enhanced data-driven forest monitoring and situational awareness for project stakeholders.
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
17 peopleShared Repositories
17
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