NOAA-OWP/inundation-mapping
Jan 2025 – Jul 2026
12 Months active
Languages Used
MarkdownPythonShellYAML
Technical Skills
Data FilteringData MergingData ProcessingFile ManagementGeospatial AnalysisPython Scripting
RyanSpies-NOAA
PROFILE
Ryanspies-noaa
Over the past year, contributed to NOAA-OWP/inundation-mapping by engineering robust geospatial data processing workflows for flood modeling and risk assessment. Developed Python-based pipelines to automate calibration, validate and enhance slope data, and integrate external hydrologic datasets, leveraging tools such as Pandas, GDAL, and Docker. Implemented features like Cloud Optimized GeoTIFF output, DEM pit detection, and RANSAC-based slope estimation to improve data quality and workflow reliability. Addressed compatibility and data integrity issues through targeted bug fixes and validation logic, ensuring maintainable, forward-compatible code. Demonstrated depth in backend development, data engineering, and geospatial analysis across evolving hydrologic modeling requirements.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
15Total
Bugs
4
Commits
15
Features
11
Lines of code
85,013
Activity Months12
Your Network
90 peopleShared Repositories
2
Work History
July 2026
2 Commits • 2 Features
Jul 1, 2026July 2026 monthly summary for NOAA-OWP/inundation-mapping focused on enhancing pipeline reliability and data quality through two high-impact feature deliveries and associated reliability improvements. The work delivered robust execution of TauDEM tools via a centralized Python subprocess wrapper and upgraded slope data sources using a RANSAC-based method, with corresponding updates to ingestion, orchestrator inputs, and environment configuration. These changes reduce operational risk, improve debugging and data trust, and set the stage for faster, more reliable inundation outputs.
2 Commits • 2 Features
Jul 1, 2026July 2026 monthly summary for NOAA-OWP/inundation-mapping focused on enhancing pipeline reliability and data quality through two high-impact feature deliveries and associated reliability improvements. The work delivered robust execution of TauDEM tools via a centralized Python subprocess wrapper and upgraded slope data sources using a RANSAC-based method, with corresponding updates to ingestion, orchestrator inputs, and environment configuration. These changes reduce operational risk, improve debugging and data trust, and set the stage for faster, more reliable inundation outputs.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 - NOAA-OWP/inundation-mapping: Delivered the DEM Pit Detection and Filling Workflow to improve DEM quality for inundation mapping. This feature uses a two-tier approach that combines OpenStreetMap (OSM) data with terrain analysis to detect and fill artificial pits in input DEMs. Implemented as release v4.9.15.0 with commit 7445c7392dce3c7504a80651a3f866c4b402cb97. No separate major bugs documented for this period.
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 - NOAA-OWP/inundation-mapping: Delivered the DEM Pit Detection and Filling Workflow to improve DEM quality for inundation mapping. This feature uses a two-tier approach that combines OpenStreetMap (OSM) data with terrain analysis to detect and fill artificial pits in input DEMs. Implemented as release v4.9.15.0 with commit 7445c7392dce3c7504a80651a3f866c4b402cb97. No separate major bugs documented for this period.
May 2026
1 Commits
May 1, 2026May 2026 focused on stability and compatibility improvements for NOAA-OWP/inundation-mapping. The primary effort was a targeted bug fix to address FutureWarnings from pandas 3.0 and related warning messages. The change preserves existing functionality while cleaning up warning output, improving maintainability and forward compatibility for upcoming pandas releases. This work reduces log noise in scripts and reports, supports smoother CI/CD cycles, and reduces the risk of regressions as dependencies evolve.
1 Commits
May 1, 2026May 2026 focused on stability and compatibility improvements for NOAA-OWP/inundation-mapping. The primary effort was a targeted bug fix to address FutureWarnings from pandas 3.0 and related warning messages. The change preserves existing functionality while cleaning up warning output, improving maintainability and forward compatibility for upcoming pandas releases. This work reduces log noise in scripts and reports, supports smoother CI/CD cycles, and reduces the risk of regressions as dependencies evolve.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for NOAA-OWP/inundation-mapping: Delivered a Manual SWORD Slope Adjustment feature to enable manual overrides and removals of SWORD slope values, significantly improving the accuracy and reliability of inundation maps. The work includes new data input filter/removal logic (commit d6f951079af3c2f01904c74f26cbb22f54a3d262) and is associated with release v4.9.11.1. No major bugs reported this month. Overall impact: better data quality, more precise flood risk assessments, and increased operator control. Technologies/skills demonstrated include Python-based data processing, feature development, version control, and release tagging.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for NOAA-OWP/inundation-mapping: Delivered a Manual SWORD Slope Adjustment feature to enable manual overrides and removals of SWORD slope values, significantly improving the accuracy and reliability of inundation maps. The work includes new data input filter/removal logic (commit d6f951079af3c2f01904c74f26cbb22f54a3d262) and is associated with release v4.9.11.1. No major bugs reported this month. Overall impact: better data quality, more precise flood risk assessments, and increased operator control. Technologies/skills demonstrated include Python-based data processing, feature development, version control, and release tagging.
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.
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Quality Metrics
Correctness87.4%
Maintainability84.0%
Architecture86.6%
Performance77.4%
AI Usage30.6%
Skills & Technologies
Programming Languages
MarkdownPythonShellYAML
Technical Skills
AWSBackend DevelopmentBashBug FixingData EngineeringData FilteringData HandlingData MergingData ProcessingData Quality AssuranceData ValidationDockerFile ManagementFull Stack DevelopmentGDAL
Repositories Contributed To
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