October 2025: Delivered Cloud-Optimised GeoTIFF (COG) Notebook Enhancements for Overview Analysis in GeoscienceAustralia/dea-notebooks. Implemented support for multiple COG overview levels, ROI definition, and the workflow to load and compare COG resolutions, plus analysis of class extents. Clarified mosaics and analysis parameters in the documentation, updated resolution metadata, and refined code to display overview resolutions and compute pixel areas for improved clarity and accuracy. These changes enhance reproducibility, reduce misinterpretation due to resampling of categorical data, and strengthen ROI-driven decision support for geospatial workflows.

September 2025 monthly summary for GeoscienceAustralia/dea-notebooks: Delivered substantial enhancements to vegetation indices calculations by adding NIRv support and enabling kNDVI, along with improved NDVI plotting visuals. The work expands analytics capabilities for vegetation analytics and improves interpretability of results, enabling researchers to derive more accurate insights from satellite data.

August 2025 monthly work summary focusing on targeted documentation improvements and cross-repo configuration fixes in two GeoscienceAustralia repositories. The work delivered enhances user understanding, reduces support overhead, and increases reliability across environments. Repos involved: GeoscienceAustralia/dea-knowledge-hub and GeoscienceAustralia/dea-notebooks. Commit-level traceability is provided for the major changes.

July 2025 monthly summary: Delivered cross-repo improvements across dea-notebooks, odc-stats, and dea-knowledge-hub that drive business value through scalable analytics, lower setup friction, and stronger data governance. Notable outcomes include ML workflow tooling enhancements, a dependency-free Dask cluster path in notebooks, robust xarray data sampling utilities, a long-term cloud-probability percentile plugin, and comprehensive Collection 3 grids documentation and assets. These efforts improve analysis reliability, accelerate data-driven decision making, and enhance user onboarding and data accessibility.

June 2025 monthly summary for GeoscienceAustralia/dea-notebooks. Focused on reliability and data processing throughput improvements by deferring Dask client initialization to ensure availability when needed, especially for large datasets like ERA5. This performance optimization reduces notebook load failures and enhances data processing readiness, enabling faster experimentation and workflows in notebooks.

May 2025 – GeoscienceAustralia/dea-notebooks: Delivered a targeted documentation update to strengthen citation coverage. No major bug fixes this month; focus was on accuracy, consistency, and traceability of documentation to support user guidance and research attribution.

April 2025 monthly summary for GeoscienceAustralia/dea-notebooks: Delivered a set of feature-focused improvements and new visualization capabilities across the notebook suite, strengthening forecasting workflows, data loading UX, and large-scale climate visualization. Primary work included experiments with SARIMAX forecasting using rainfall as an exogenous variable, followed by simplification that removed the exogenous input to streamline the workflow and improve maintainability. Implemented a verbose progress indicator for load_ard to enhance user feedback during large data loads. Launched continental-scale animation notebook that demonstrates loading Landsat 8/9 data, exporting true-color animations, and visualizing with xr_animation, with updated documentation and tests. Released ERA5 climate data notebook to access and visualize monthly max air temperature and mean wind speed for defined regions, including a Victoria boundary GeoJSON. Enhanced documentation across DEA notebooks to improve formatting, usage notes, and parameter descriptions. Together, these efforts improve data accessibility, repeatability, and scalability, enable faster analysis, and enhance decision support through richer visualization and more intuitive workflows.