ESA-APEx/apex_algorithms
May 2026 – Jul 2026
3 Months active
Languages Used
JSON
Technical Skills
API integrationalgorithm developmentdata managementdata processinggeospatial analysisremote sensing
Firza Riany
PROFILE
Firza Riany
Over three months, contributed to the ESA-APEx/apex_algorithms repository by developing and enhancing geospatial analytics features for earth observation and urban monitoring. Built reproducible workflows for wildfire boundary detection using Sentinel-2 data and implemented an Urban Heat Island analysis pipeline leveraging openEO. Established robust infrastructure with CI/CD pipelines, automated statistics generation, and metadata integrity improvements. Expanded analytics capabilities with UDP-driven endpoints for urban area and vegetation index detection, including kernel NDVI, LAI, and PSRI visualizations. Addressed data integrity and API reliability by fixing resource references and backend routing. Utilized Python, GitHub Actions, and YAML to ensure traceability and maintainability.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
24Total
Bugs
3
Commits
24
Features
7
Lines of code
13,557
Activity Months3
Your Network
24 peopleWork History
July 2026
20 Commits • 5 Features
Jul 1, 2026July 2026 monthly summary for ESA-APEx apex_algorithms: Delivered a UDP-driven analytics suite for urban areas and vegetation indices, expanding capabilities and enabling richer, data-driven insights. Implemented kernel NDVI UDP, LAI UDP, and PSRI UDP visualization, and updated UDP endpoints to support production-grade workflows. Fixed critical data integrity and API reliability improvements, including OGC/OpenGIS URL and resource reference fixes, commit hash-based record referencing, and a backend endpoint routing fix. These efforts improved data provenance, traceability, API stability, and actionable analytics for urban planning and vegetation monitoring.
20 Commits • 5 Features
Jul 1, 2026July 2026 monthly summary for ESA-APEx apex_algorithms: Delivered a UDP-driven analytics suite for urban areas and vegetation indices, expanding capabilities and enabling richer, data-driven insights. Implemented kernel NDVI UDP, LAI UDP, and PSRI UDP visualization, and updated UDP endpoints to support production-grade workflows. Fixed critical data integrity and API reliability improvements, including OGC/OpenGIS URL and resource reference fixes, commit hash-based record referencing, and a backend endpoint routing fix. These efforts improved data provenance, traceability, API stability, and actionable analytics for urban planning and vegetation monitoring.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026Month: 2026-06. Focused on building foundational infrastructure for APEx algorithm services and implementing an Urban Heat Island (UHI) workflow using openEO for satellite data analysis. Delivered scalable infrastructure and collaboration-ready artifacts to enable rapid onboarding of new algorithms and automated statistics generation.
June 2026
1 Commits • 1 Features
Jun 1, 2026Month: 2026-06. Focused on building foundational infrastructure for APEx algorithm services and implementing an Urban Heat Island (UHI) workflow using openEO for satellite data analysis. Delivered scalable infrastructure and collaboration-ready artifacts to enable rapid onboarding of new algorithms and automated statistics generation.
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ESA-APEx/apex_algorithms focused on feature delivery, provenance, and reproducibility. Delivered a Sentinel-2-based wildfire boundary detection feature with attribution to the original SentinelHub script and pinned resource references for OpenEO processes to ensure reproducibility. No major bugs reported this month; emphasis on code quality, documentation, and auditability to support risk management and customer trust.
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ESA-APEx/apex_algorithms focused on feature delivery, provenance, and reproducibility. Delivered a Sentinel-2-based wildfire boundary detection feature with attribution to the original SentinelHub script and pinned resource references for OpenEO processes to ensure reproducibility. No major bugs reported this month; emphasis on code quality, documentation, and auditability to support risk management and customer trust.
May 2026
Activity
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Quality Metrics
Correctness86.6%
Maintainability85.8%
Architecture83.4%
Performance84.2%
AI Usage57.6%
Skills & Technologies
Programming Languages
JSON
Technical Skills
API IntegrationAPI developmentAPI integrationAlgorithm DevelopmentAlgorithmsBackend DevelopmentCI/CDConfiguration ManagementData EngineeringData ModelingData ProcessingData VisualizationEarth observationGeospatial AnalysisGit
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