FME in Tesera’s HRIS: Slicing through the forest of data to see the trees

This presentation will demonstrate how, in its High Resolution Inventory Service, Tesera employs over 40 workbenches to translate high-resolution imagery and LiDAR data for projects covering 10,000+ sq km from its raw data format covering into more manageable tiled project data used within its machine learning software, and into slippy map tile and vector tiles within its online viewer. FME Cloud is a critical tool for orchestrating and running these workbenches in a semi-automated process.