A data collection needs to be usable
The brief called for a system that could store large geospatial files and imagery, accept standard formats and help users retrieve the right data. Storage, processing, metadata and access needed to work together.
The team delivered a connected workflow for finding, checking, processing and distributing data, with its history and documentation retained.
From stored files to a searchable catalogue
The software supported standard geospatial formats and scalable storage for large datasets, including images. Spatial indexing and querying helped users locate data by its geographic coverage.
Automatic metadata management and data footprints recorded what a dataset contained and the area it covered. Retrieval and download capabilities made that catalogue useful in day-to-day work.
Work with the data in the same environment
Processing capabilities covered data extraction, transformation and loading, raster calculations, spatial analysis, compression and quality checks. The architecture allowed processing capabilities to be extended.
Integration with GDAL, OGR, GeoPandas and raster-processing libraries connected the system to established geospatial tools.
A graphical interface supported 2D and 3D visualisation, with vector tiles, raster tiles and 3D tiles.
Connect to other geospatial tools
The delivery covered OGC services including WMS for map images, WFS for geographic features and WMTS for map tiles. These interfaces allowed data and visualisations to be used through standard geospatial services.
Retain control as data moves
User access controls, encryption, version tracking and activity logs supported the management of stored data. The system also retained documentation and records for archived and disseminated datasets.
These functions connected the data lifecycle: what was received, how it was processed, which version was used and what was distributed.