
Katherine Lee developed and maintained data pipelines, catalog configurations, and disaster analytics features across NASA-IMPACT’s veda-config, veda-data-airflow, and veda-disasters repositories. She engineered automated ingestion workflows using Python, Airflow, and STAC, integrating ArcGIS and satellite datasets for climate and disaster monitoring. Her work included refactoring configuration management, normalizing asset paths, and enhancing metadata and visualization in React-based front ends. Katherine improved documentation and onboarding materials, streamlined asset management, and resolved bugs affecting data discoverability and UI reliability. Her contributions demonstrated depth in data engineering, geospatial analysis, and content management, resulting in robust, maintainable systems supporting scientific data access.

September 2025 monthly summary focusing on key accomplishments across NASA-IMPACT repositories (veda-config and veda-disasters).
September 2025 monthly summary focusing on key accomplishments across NASA-IMPACT repositories (veda-config and veda-disasters).
2025-08 Monthly Summary: Delivered expanded hurricane data analytics assets and visual improvements, and completed content rendering fixes. Business value delivered: enhanced disaster intelligence, richer visual context for Helene and Milton, and more reliable prose rendering across configurations.
2025-08 Monthly Summary: Delivered expanded hurricane data analytics assets and visual improvements, and completed content rendering fixes. Business value delivered: enhanced disaster intelligence, richer visual context for Helene and Milton, and more reliable prose rendering across configurations.
July 2025 performance summary for NASA-IMPACT VEDA suite. The month delivered substantial business value by enhancing data discoverability, storytelling assets, and pipeline reliability across four repositories. Key outcomes include improved data accessibility for sub-daily datasets, richer visualization features, and more robust data pipelines, all while maintaining a clear focus on end-user value. Key features delivered: - veda-docs: Add info for datasets with sub-daily times (issue #226); notebook updates; add NBGitPuller and MyBinder links; consolidate story sections; update notebooks with STAC access; integrate cleanup of frontmatter and metadata; update animated plot and zoom visuals; derechos metadata/frontmatter updates; general codebase maintenance and data import/plotting improvements. - veda-disasters: CA wildfire event page enhancements (Download Data card, asset path updates, deprecations cleanup); Burma earthquake interactive dataset access; Hurricane Milton interactive data access links; homepage persona-based imagery; Black Marble nighttime lights dataset integration and staging refinements; Helene 2024 dataset assets; maintenance cleanup and version hygiene updates. - veda-config: Asset management overhaul for storytelling assets; improved data catalog media links accuracy. - veda-data-airflow: PyARC2STAC pipeline configuration improvements; scheduling and execution reliability fixes (disable duplicate triggering and include manual-trigger DAGs); test environment enhancements (virtualenv and updated test configs). Major bugs fixed: - Update raster URL link; update titiler-cmr link and related plot; final cleanup and miscellaneous updates; fixed scaling issues and colormap in visualizations; scheduling duplicate errors and related DAG stability improvements. Overall impact and accomplishments: - Improved data discoverability and access across datasets, notebooks, and event pages; streamlined storytelling assets for faster content production; more reliable pipelines with reduced duplicate executions and better test coverage; and a foundation for scalable data access via STAC and PyARC2STAC integrations. Technologies/skills demonstrated: - STAC access and data interaction (pystac Client); PyARC2STAC pipeline configuration; Airflow DAG scheduling reliability; test environment tooling (virtualenv, conftest); Quarto YAML/frontmatter metadata management; NB GitPuller/MyBinder integration; visualization enhancements (animated plot, zoom); asset/media management and media-link accuracy.
July 2025 performance summary for NASA-IMPACT VEDA suite. The month delivered substantial business value by enhancing data discoverability, storytelling assets, and pipeline reliability across four repositories. Key outcomes include improved data accessibility for sub-daily datasets, richer visualization features, and more robust data pipelines, all while maintaining a clear focus on end-user value. Key features delivered: - veda-docs: Add info for datasets with sub-daily times (issue #226); notebook updates; add NBGitPuller and MyBinder links; consolidate story sections; update notebooks with STAC access; integrate cleanup of frontmatter and metadata; update animated plot and zoom visuals; derechos metadata/frontmatter updates; general codebase maintenance and data import/plotting improvements. - veda-disasters: CA wildfire event page enhancements (Download Data card, asset path updates, deprecations cleanup); Burma earthquake interactive dataset access; Hurricane Milton interactive data access links; homepage persona-based imagery; Black Marble nighttime lights dataset integration and staging refinements; Helene 2024 dataset assets; maintenance cleanup and version hygiene updates. - veda-config: Asset management overhaul for storytelling assets; improved data catalog media links accuracy. - veda-data-airflow: PyARC2STAC pipeline configuration improvements; scheduling and execution reliability fixes (disable duplicate triggering and include manual-trigger DAGs); test environment enhancements (virtualenv and updated test configs). Major bugs fixed: - Update raster URL link; update titiler-cmr link and related plot; final cleanup and miscellaneous updates; fixed scaling issues and colormap in visualizations; scheduling duplicate errors and related DAG stability improvements. Overall impact and accomplishments: - Improved data discoverability and access across datasets, notebooks, and event pages; streamlined storytelling assets for faster content production; more reliable pipelines with reduced duplicate executions and better test coverage; and a foundation for scalable data access via STAC and PyARC2STAC integrations. Technologies/skills demonstrated: - STAC access and data interaction (pystac Client); PyARC2STAC pipeline configuration; Airflow DAG scheduling reliability; test environment tooling (virtualenv, conftest); Quarto YAML/frontmatter metadata management; NB GitPuller/MyBinder integration; visualization enhancements (animated plot, zoom); asset/media management and media-link accuracy.
June 2025 monthly summary focusing on key accomplishments across NASA-IMPACT repositories. Delivered content and reliability improvements for image rendering and asset management, and enhanced developer documentation to improve onboarding and guidance for map visualization options. Across veda-disasters and veda-ui, changes were scoped to thumbnail handling, asset updates, and documentation clarity, with traceable commits for easier review and rollback if needed.
June 2025 monthly summary focusing on key accomplishments across NASA-IMPACT repositories. Delivered content and reliability improvements for image rendering and asset management, and enhanced developer documentation to improve onboarding and guidance for map visualization options. Across veda-disasters and veda-ui, changes were scoped to thumbnail handling, asset updates, and documentation clarity, with traceable commits for easier review and rollback if needed.
May 2025 performance summary: Delivered end-to-end ArcGIS-to-STAC ingestion pipeline for NASA-IMPACT/veda-data-airflow using pyarc2stac, including DAG generation and configuration-driven pipelines, with enhanced documentation and configuration refinements to reliably ingest ArcGIS data into STAC collections. Cleaned the codebase by removing the deprecated disaster_dag DAG to improve maintainability. Enhanced the veda-config data catalog UX and metadata: raised the Darnah map default zoom to 11, introduced an isHidden flag to hide Caldor Fire, California Camp Fire Impacts, and Lahaina fire datasets, updated Black Marble Night Lights display names, corrected spatial resolution from ~750 km to 1 km, consolidated Aerosol Optical Depth previews, added a snow projections figure, and merged twstrend into twsanomaly with a trend layer and updated PlanetScope details. Expanded disaster monitoring readiness for 2025 in veda-disasters, including CA Wildfires and Burma Earthquake with LIS datasets, naming/taxonomy updates, and new Burma Earthquake and Hurricane Milton stories. In veda-docs, added Derechos storytelling content, shader rendering improvements, and introduced S3TimeAggregator for streaming remote NetCDF with daily/weekly/monthly aggregation using Dask for parallel processing. Overall, these efforts accelerate data readiness for analysts, improve metadata quality and UX, and establish scalable foundations for 2025 disaster readiness.
May 2025 performance summary: Delivered end-to-end ArcGIS-to-STAC ingestion pipeline for NASA-IMPACT/veda-data-airflow using pyarc2stac, including DAG generation and configuration-driven pipelines, with enhanced documentation and configuration refinements to reliably ingest ArcGIS data into STAC collections. Cleaned the codebase by removing the deprecated disaster_dag DAG to improve maintainability. Enhanced the veda-config data catalog UX and metadata: raised the Darnah map default zoom to 11, introduced an isHidden flag to hide Caldor Fire, California Camp Fire Impacts, and Lahaina fire datasets, updated Black Marble Night Lights display names, corrected spatial resolution from ~750 km to 1 km, consolidated Aerosol Optical Depth previews, added a snow projections figure, and merged twstrend into twsanomaly with a trend layer and updated PlanetScope details. Expanded disaster monitoring readiness for 2025 in veda-disasters, including CA Wildfires and Burma Earthquake with LIS datasets, naming/taxonomy updates, and new Burma Earthquake and Hurricane Milton stories. In veda-docs, added Derechos storytelling content, shader rendering improvements, and introduced S3TimeAggregator for streaming remote NetCDF with daily/weekly/monthly aggregation using Dask for parallel processing. Overall, these efforts accelerate data readiness for analysts, improve metadata quality and UX, and establish scalable foundations for 2025 disaster readiness.
April 2025 performance summary for NASA-IMPACT repositories (veda-config and veda-data-airflow). Focused on data standardization, catalog governance, and automation enhancements. Delivered: (1) data standardization and documentation enhancements across the veda-config catalog, including MDX standardization, layer consolidation, and updated metadata across datasets; (2) disaster and climate data expansion through integration/updates of Blizzard, Thomas Fire, Hurricane datasets, and CMIP6 projections (snow and winter conditions), enhancing coverage and decision-support data; (3) data catalog governance improvements with deduplication, removal of obsolete datasets, and fixes to metadata/ID naming to ensure reliable story data population; (4) end-to-end disaster data ingestion automation via Airflow, including a new disaster DAG and Dockerfile updates to support pyarc2stac/pystac and packaging; (5) documentation, wording, and accessibility improvements to Limitations of Use, disclaimers, and hidden pages for better usability and compliance.
April 2025 performance summary for NASA-IMPACT repositories (veda-config and veda-data-airflow). Focused on data standardization, catalog governance, and automation enhancements. Delivered: (1) data standardization and documentation enhancements across the veda-config catalog, including MDX standardization, layer consolidation, and updated metadata across datasets; (2) disaster and climate data expansion through integration/updates of Blizzard, Thomas Fire, Hurricane datasets, and CMIP6 projections (snow and winter conditions), enhancing coverage and decision-support data; (3) data catalog governance improvements with deduplication, removal of obsolete datasets, and fixes to metadata/ID naming to ensure reliable story data population; (4) end-to-end disaster data ingestion automation via Airflow, including a new disaster DAG and Dockerfile updates to support pyarc2stac/pystac and packaging; (5) documentation, wording, and accessibility improvements to Limitations of Use, disclaimers, and hidden pages for better usability and compliance.
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