EOPF-Sample-Service/eopf-sample-notebooks
Feb 2025 – Dec 2025
7 Months active
Languages Used
Jupyter NotebookPythonYAMLHTMLJavaScriptMarkdownpythonJSON
Technical Skills
CartopyCode LintingCode OrganizationDaskData AnalysisData Visualization
Dhinakaran Suriyah
PROFILE
Dhinakaran Suriyah
Over seven months, D. Suriyahsuri developed and enhanced geospatial data processing workflows in the EOPF-Sample-Service/eopf-sample-notebooks repository. He delivered end-to-end Jupyter notebooks for crop classification, wildfire analysis, and satellite data visualization, integrating technologies such as Python, Dask, and Xarray. His work included implementing distributed computing with Dask Gateway, refining data access via STAC APIs, and improving reproducibility through environment and dependency management. He addressed notebook reliability, code quality, and documentation, enabling reproducible, scalable analysis of Sentinel satellite data. The depth of his contributions advanced data discoverability, processing efficiency, and maintainability for earth observation and remote sensing applications.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
71Total
Bugs
10
Commits
71
Features
25
Lines of code
133,681
Activity Months7
Work History
December 2025
9 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two feature notebooks in EOPF-Sample-Service/eopf-sample-notebooks that broaden geospatial data processing and discovery. Key features include Sentinel-2 L1C to HEALPix notebook with XDGGS integration and dynamic temporal extent, and Sentinel-3 SLSTR L2 LST notebook with STAC discovery, xarray access, and flexible processing via Dask gateway or a non-Dask path. Also completed code quality improvements (linting, removal of redundant cells, and XDGGS reference). These efforts increase dataset discoverability, improve analysis capabilities, and reduce infrastructure complexity for end users.
9 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two feature notebooks in EOPF-Sample-Service/eopf-sample-notebooks that broaden geospatial data processing and discovery. Key features include Sentinel-2 L1C to HEALPix notebook with XDGGS integration and dynamic temporal extent, and Sentinel-3 SLSTR L2 LST notebook with STAC discovery, xarray access, and flexible processing via Dask gateway or a non-Dask path. Also completed code quality improvements (linting, removal of redundant cells, and XDGGS reference). These efforts increase dataset discoverability, improve analysis capabilities, and reduce infrastructure complexity for end users.
December 2025
November 2025
10 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for EOPF-Sample-Service/eopf-sample-notebooks. Delivered high-impact notebook features, infrastructure improvements, and code-quality initiatives that advance Sentinel-2 data processing and geospatial workflows. Highlights include major feature deliveries, a critical bug fix, and foundational work enabling scalable, maintainable code with strong collaboration with the mainline.
November 2025
10 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for EOPF-Sample-Service/eopf-sample-notebooks. Delivered high-impact notebook features, infrastructure improvements, and code-quality initiatives that advance Sentinel-2 data processing and geospatial workflows. Highlights include major feature deliveries, a critical bug fix, and foundational work enabling scalable, maintainable code with strong collaboration with the mainline.
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025: Delivered two core features in EOPF-Sample-Service/eopf-sample-notebooks to accelerate data workflows and enrich feature engineering for forestry and crop analytics. Barley 2019 GeoJSON dataset added for feature engineering and forest change detection; precomputed NetCDF outputs for multiple crops introduced to reduce recomputation and speed processing. Notebook cleanup improved readability and maintainability. No major bugs fixed this month. Business value: faster notebook runs, improved data readiness for downstream modeling, and reduced compute time; Technical achievements: GeoJSON and NetCDF data integration, notebook refactoring, and performance optimization.
2 Commits • 2 Features
Oct 1, 2025October 2025: Delivered two core features in EOPF-Sample-Service/eopf-sample-notebooks to accelerate data workflows and enrich feature engineering for forestry and crop analytics. Barley 2019 GeoJSON dataset added for feature engineering and forest change detection; precomputed NetCDF outputs for multiple crops introduced to reduce recomputation and speed processing. Notebook cleanup improved readability and maintainability. No major bugs fixed this month. Business value: faster notebook runs, improved data readiness for downstream modeling, and reduced compute time; Technical achievements: GeoJSON and NetCDF data integration, notebook refactoring, and performance optimization.
October 2025
September 2025
4 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered an end-to-end Potato Crop Type NDVI Notebook in EOPF-Sample-Service/eopf-sample-notebooks, establishing a repeatable workflow for rule-based potato crop type classification using Sentinel-2 data. The notebook covers STAC data access, NDVI calculation, dekad aggregation, and temporal visualization, with subsequent refinements to data loading/processing, AOI selection, and coordinate transformations. Accompanied by asset delivery (draft notebook and dependent PNG) and documentation improvements to enhance accuracy, reproducibility, and clarity. This work accelerates data-to-insight for crop-type mapping and supports rapid experimentation for agritech workflows.
September 2025
4 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered an end-to-end Potato Crop Type NDVI Notebook in EOPF-Sample-Service/eopf-sample-notebooks, establishing a repeatable workflow for rule-based potato crop type classification using Sentinel-2 data. The notebook covers STAC data access, NDVI calculation, dekad aggregation, and temporal visualization, with subsequent refinements to data loading/processing, AOI selection, and coordinate transformations. Accompanied by asset delivery (draft notebook and dependent PNG) and documentation improvements to enhance accuracy, reproducibility, and clarity. This work accelerates data-to-insight for crop-type mapping and supports rapid experimentation for agritech workflows.
June 2025
15 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for EOPF-Sample-Service/eopf-sample-notebooks highlights the delivery of core enhancements, stability improvements, and documentation updates that collectively increase data discoverability and notebook reliability.
15 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for EOPF-Sample-Service/eopf-sample-notebooks highlights the delivery of core enhancements, stability improvements, and documentation updates that collectively increase data discoverability and notebook reliability.
June 2025
March 2025
21 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary focused on delivering core environment and tooling improvements, notebook reliability enhancements, and packaging/dependency stabilization for the EOPF notebooks workflow. This period improved developer onboarding and reproducibility, reduced setup friction, and lowered deployment risk through pinned dependencies and CI-ready code quality improvements.
March 2025
21 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary focused on delivering core environment and tooling improvements, notebook reliability enhancements, and packaging/dependency stabilization for the EOPF notebooks workflow. This period improved developer onboarding and reproducibility, reduced setup friction, and lowered deployment risk through pinned dependencies and CI-ready code quality improvements.
February 2025
10 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EOPF-Sample-Service/eopf-sample-notebooks focused on delivering enhanced Sentinel tutorial notebooks, improved data visualization, and robust environment maintenance to boost onboarding, reproducibility, and data exploration capabilities.
10 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EOPF-Sample-Service/eopf-sample-notebooks focused on delivering enhanced Sentinel tutorial notebooks, improved data visualization, and robust environment maintenance to boost onboarding, reproducibility, and data exploration capabilities.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness88.8%
Maintainability87.8%
Architecture83.6%
Performance82.2%
AI Usage23.2%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptJupyter NotebookMarkdownPythonYAMLpython
Technical Skills
API IntegrationCartopyCloud ComputingCode FormattingCode LintingCode OrganizationCondaConfiguration ManagementDaskData AccessData AggregationData AnalysisData ProcessingData ScienceData Visualization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline