NOAA-OWP/inundation-mapping
Jan 2025 – Mar 2026
8 Months active
Languages Used
MarkdownPythonShellYAML
Technical Skills
Data FilteringData MergingData ProcessingFile ManagementGeospatial AnalysisPython Scripting
RyanSpies-NOAA
PROFILE
Ryanspies-noaa
Ryan Spies developed and maintained advanced hydrological data processing workflows for the NOAA-OWP/inundation-mapping repository, focusing on automating calibration, enhancing data quality, and improving flood modeling accuracy. He engineered Python and Pandas-based scripts to process, validate, and merge geospatial datasets, integrating external slope and discharge data sources while ensuring robust fallback logic and data integrity. His work included implementing Cloud Optimized GeoTIFF output for scalable raster generation, automating slope validation, and filling feature ID gaps to support reliable inundation mapping. By leveraging AWS, Docker, and strong data engineering practices, Ryan delivered reproducible, production-ready solutions that reduced manual intervention and downstream errors.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
10Total
Bugs
3
Commits
10
Features
7
Lines of code
83,417
Activity Months8
Your Network
83 peopleShared Repositories
2
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for NOAA-OWP/inundation-mapping focused on delivering scalable raster production capabilities: Cloud Optimized GeoTIFF (COG) output was added for inundation mosaic raster generation, enabling efficient handling of large rasters in QGIS. This aligns with performance, storage, and user workflow goals. The feature was released as v4.9.10.3 with a profile update to support COG output (commit 4a9c98464a6f16aa88804f0888702d664b2ebd8e, #1767). No major bugs reported; ongoing stabilization and monitoring planned. Overall impact includes faster processing, reduced I/O, and improved accessibility of inundation data for analysts and decision-makers.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for NOAA-OWP/inundation-mapping focused on delivering scalable raster production capabilities: Cloud Optimized GeoTIFF (COG) output was added for inundation mosaic raster generation, enabling efficient handling of large rasters in QGIS. This aligns with performance, storage, and user workflow goals. The feature was released as v4.9.10.3 with a profile update to support COG output (commit 4a9c98464a6f16aa88804f0888702d664b2ebd8e, #1767). No major bugs reported; ongoing stabilization and monitoring planned. Overall impact includes faster processing, reduced I/O, and improved accessibility of inundation data for analysts and decision-makers.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NOAA-OWP/inundation-mapping. Focused on delivering data quality enhancement in inundation modeling by updating the SWORD reach slope input to fill feature ID gaps up to 15km, improving model completeness and reliability for flood risk analyses; prepared for production validation and downstream applications.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NOAA-OWP/inundation-mapping. Focused on delivering data quality enhancement in inundation modeling by updating the SWORD reach slope input to fill feature ID gaps up to 15km, improving model completeness and reliability for flood risk analyses; prepared for production validation and downstream applications.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for NOAA-OWP/inundation-mapping. Delivered automated river segment slope data processing and validation to improve data quality for inundation mapping. Implemented a Python script to validate slopes against defined thresholds and fill missing/invalid values using upstream and downstream slopes from the NWM hydrofabric, enabling robust SWORD input parquet generation and downstream modeling.
1 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for NOAA-OWP/inundation-mapping. Delivered automated river segment slope data processing and validation to improve data quality for inundation mapping. Implemented a Python script to validate slopes against defined thresholds and fill missing/invalid values using upstream and downstream slopes from the NWM hydrofabric, enabling robust SWORD input parquet generation and downstream modeling.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NOAA-OWP/inundation-mapping focused on delivering enhanced inundation scripting flexibility and robust data handling. Implemented support for pre-calibrated discharge values via an optional argument and ensured backward compatibility with a safe fallback to default discharge values when pre-calibrated data is unavailable.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NOAA-OWP/inundation-mapping focused on delivering enhanced inundation scripting flexibility and robust data handling. Implemented support for pre-calibrated discharge values via an optional argument and ensured backward compatibility with a safe fallback to default discharge values when pre-calibrated data is unavailable.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted updates in NOAA-OWP/inundation-mapping to strengthen mapping accuracy, data integrity, and workflow reliability. Achieved via a slope data accuracy improvement for inundation mapping and a bug fix ensuring USGS location IDs retain leading zeros, with clear commit history guiding production readiness.
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted updates in NOAA-OWP/inundation-mapping to strengthen mapping accuracy, data integrity, and workflow reliability. Achieved via a slope data accuracy improvement for inundation mapping and a bug fix ensuring USGS location IDs retain leading zeros, with clear commit history guiding production readiness.
July 2025
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered a critical data-quality fix in inundation-mapping, reinforced data integrity, and released version 4.8.4.1. The work improved reliability of slope-based flood mapping and reduced downstream data cleansing needs.
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered a critical data-quality fix in inundation-mapping, reinforced data integrity, and released version 4.8.4.1. The work improved reliability of slope-based flood mapping and reduced downstream data cleansing needs.
May 2025
2 Commits • 1 Features
May 1, 2025Concise month summary for 2025-05: Focus on delivering robust channel slope handling for SRC-based discharge calculations and improving ingestion reliability in inundation-mapping. Highlights include integration of external slope data sources with a clear prioritization scheme and normalization of slope attributes with default roughness values, resulting in more accurate and robust SRC inputs for flood mapping.
2 Commits • 1 Features
May 1, 2025Concise month summary for 2025-05: Focus on delivering robust channel slope handling for SRC-based discharge calculations and improving ingestion reliability in inundation-mapping. Highlights include integration of external slope data sources with a clear prioritization scheme and normalization of slope attributes with default roughness values, resulting in more accurate and robust SRC inputs for flood mapping.
May 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented the HEC-RAS Benchmark Data Calibration Script Suite for NOAA-OWP/inundation-mapping to automate calibration data preparation and accelerate hazard mapping workflows. The suite processes HEC-RAS benchmark data and converts inundation polygons into edge-point databases for HAND SRC calibration, with the ability to include maximum stage/flow points and removal of 10m grid point snapping to improve calibration data quality. Released as v4.5.14.1, enabling more accurate, reproducible calibration data and reducing manual data wrangling.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented the HEC-RAS Benchmark Data Calibration Script Suite for NOAA-OWP/inundation-mapping to automate calibration data preparation and accelerate hazard mapping workflows. The suite processes HEC-RAS benchmark data and converts inundation polygons into edge-point databases for HAND SRC calibration, with the ability to include maximum stage/flow points and removal of 10m grid point snapping to improve calibration data quality. Released as v4.5.14.1, enabling more accurate, reproducible calibration data and reducing manual data wrangling.
Activity
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Quality Metrics
Correctness87.0%
Maintainability82.0%
Architecture86.0%
Performance74.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
MarkdownPythonShellYAML
Technical Skills
AWSBackend DevelopmentBug FixingData EngineeringData FilteringData HandlingData MergingData ProcessingData Quality AssuranceData ValidationDockerFile ManagementFull Stack DevelopmentGeospatial AnalysisGeospatial Data Handling
Repositories Contributed To
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