fieldsoftheworld/ftw-baselines
Jul 2025 – Sep 2025
3 Months active
Languages Used
PythonTIFFShell
Technical Skills
Data EngineeringGeospatial Data ProcessingPythonRaster Data AnalysisTestingBackend Development
Martha Morrissey
PROFILE
Martha Morrissey
Worked on the fieldsoftheworld/ftw-baselines repository to deliver new geospatial data processing features and workflow enhancements for crop calendar and Sentinel-2 satellite imagery. Developed Python-based service logic and CLI tools to compute harvest days from raster data, integrating date conversion utilities and geospatial analysis pipelines. Enhanced the end-to-end workflow by adding EarthSearch as a data source, implementing scene selection with cloud-cover filtering, and orchestrating model inference through a unified command-line interface. Addressed error handling in STAC API queries by introducing validation for future date ranges, improving reliability and user feedback. Emphasized robust testing and production-ready data engineering practices.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
786
Activity Months3
Your Network
11 peopleShared Repositories
11
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on bug fix for STAC query handling in ftw-baselines. Implemented validation to raise a clear ValueError when a STAC query requests a date range in the future and ensured no attempt is made to query future dates. Added dedicated tests validating the future-date error path, improving reliability, user feedback, and overall system predictability. This work reduces wasted compute and aligns with the product goal of stable, explainable data access across STAC operations.
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on bug fix for STAC query handling in ftw-baselines. Implemented validation to raise a clear ValueError when a STAC query requests a date range in the future and ensured no attempt is made to query future dates. Added dedicated tests validating the future-date error path, improving reliability, user feedback, and overall system predictability. This work reduces wasted compute and aligns with the product goal of stable, explainable data access across STAC operations.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on the ftw-baselines repo. Delivered end-to-end workflow enhancements for Sentinel-2 leveraging EarthSearch integration, with improved data sourcing, automation, and orchestration that unlocks faster, more reliable scene processing and model results.
August 2025
2 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on the ftw-baselines repo. Delivered end-to-end workflow enhancements for Sentinel-2 leveraging EarthSearch integration, with improved data sourcing, automation, and orchestration that unlocks faster, more reliable scene processing and model results.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered Crop Calendar service enhancements for fieldsoftheworld/ftw-baselines to enable harvest day computation from bounding boxes using raster data processing. Implemented service-level logic, added necessary raster data pipelines, and created utilities for date conversion and geospatial data processing. Added tests to validate core functionality and reliability, laying groundwork for production-grade crop scheduling and planning.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered Crop Calendar service enhancements for fieldsoftheworld/ftw-baselines to enable harvest day computation from bounding boxes using raster data processing. Implemented service-level logic, added necessary raster data pipelines, and created utilities for date conversion and geospatial data processing. Added tests to validate core functionality and reliability, laying groundwork for production-grade crop scheduling and planning.
July 2025
Activity
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Quality Metrics
Correctness82.6%
Maintainability80.0%
Architecture82.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellTIFF
Technical Skills
Backend DevelopmentCLI DevelopmentCloud ComputingCommand Line Interface (CLI)Data EngineeringError HandlingFull Stack DevelopmentGeospatial AnalysisGeospatial Data HandlingGeospatial Data ProcessingPythonRaster Data AnalysisSTAC APISatellite Imagery ProcessingTesting
Repositories Contributed To
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