fusedio/udfs
May 2025 – May 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
API IntegrationCloud ComputingGDALGeoPandasGeospatial Data ProcessingParallel Processing
Harald Kristen
PROFILE
Harald Kristen
During May 2025, Harald Kristen developed two geospatial user-defined functions for the fusedio/udfs repository, focusing on streamlining satellite imagery workflows. He built an ArcGIS ImageServer downloader that retrieves satellite data for specified bounding boxes via REST, and a TIFF-to-COG converter that transforms standard TIFF files into Cloud Optimized GeoTIFFs for improved cloud storage and processing efficiency. Leveraging Python, GDAL, and Rasterio, Harald addressed the end-to-end workflow from data acquisition to optimized storage, enabling faster downstream analysis. His work demonstrated depth in geospatial data processing and parallelization, contributing a robust, cloud-ready solution for handling large-scale raster datasets.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
744
Activity Months1
Your Network
18 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on business value and technical achievements. Highlights: - Delivered two geospatial UDFs to streamline satellite imagery acquisition and processing, enabling faster data availability for downstream analyses and customers. - Implemented a TIFF-to-COG converter to optimize storage and performance for large TIFF datasets, facilitating efficient cloud-based processing. - Contributed public UDFs with a single commit addressing end-to-end workflow from ArcGIS ImageServer to COG conversion (#879).
1 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on business value and technical achievements. Highlights: - Delivered two geospatial UDFs to streamline satellite imagery acquisition and processing, enabling faster data availability for downstream analyses and customers. - Implemented a TIFF-to-COG converter to optimize storage and performance for large TIFF datasets, facilitating efficient cloud-based processing. - Contributed public UDFs with a single commit addressing end-to-end workflow from ArcGIS ImageServer to COG conversion (#879).
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API IntegrationCloud ComputingGDALGeoPandasGeospatial Data ProcessingParallel ProcessingPythonRaster Data HandlingRasterioRequests
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline