openforis/fra-platform
Apr 2025 – May 2025
2 Months active
Languages Used
JSONSCSSTypeScriptJava
Technical Skills
Backend DevelopmentData IntegrationData VisualizationFrontend DevelopmentGeospatial Data ProcessingState Management
andyarnell
PROFILE
Andyarnell
Andy Arnell developed and enhanced geospatial data layers for the openforis/fra-platform, focusing on forest cover analytics and data visualization. Over two months, Andy delivered new JRC GEE Layers for 2000 and 2020, integrating them into the platform’s UI and refactoring data processing logic to improve accuracy. Using TypeScript and Java, Andy implemented robust state management and localization updates, ensuring consistent multilingual display and reliable data fetching. The work included aligning forest layer metadata and synchronizing multilingual titles, which improved data integrity across dashboards. Andy’s contributions provided a solid foundation for future layer integrations and more accurate forest data reporting.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
100
Activity Months2
Your Network
2 peopleShared Repositories
2
Work History
May 2025
1 Commits • 1 Features
May 1, 2025In May 2025, delivered data accuracy and localization improvements for the FRA platform focused on the JRC forest layer. The year was updated from 2000 to 2020 to reflect current data, and multilingual titles were synchronized to reflect the official layer name across languages, enhancing display consistency and data integrity.
1 Commits • 1 Features
May 1, 2025In May 2025, delivered data accuracy and localization improvements for the FRA platform focused on the JRC forest layer. The year was updated from 2000 to 2020 to reflect current data, and multilingual titles were synchronized to reflect the official layer name across languages, enhancing display consistency and data integrity.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for openforis/fra-platform focused on delivering enhanced JRC GEE Layers and improving forest data accuracy through UI-integrated layers and refactoring. The work solidified foundational data processing for forest cover analytics and prepared for broader layer integrations.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for openforis/fra-platform focused on delivering enhanced JRC GEE Layers and improving forest data accuracy through UI-integrated layers and refactoring. The work solidified foundational data processing for forest cover analytics and prepared for broader layer integrations.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaSCSSTypeScript
Technical Skills
Backend DevelopmentData IntegrationData VisualizationFrontend DevelopmentGeospatial Data ProcessingState ManagementUI Development
Repositories Contributed To
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