Sterling Geo - Flood Detection
Sterling Geo has combined the strengths of FME Desktop and ERDAS Imagine into powerful image processing routines that provide intelligent business products from a multitude of data inputs.
Sterling Geo uses a few lines of Python to combine workflows from the two technologies. For example, when an electrical substation flooded, causing 40,000 people to lose power, they built a single process that used ERDAS Imagine to perform flood detection on multi-band Landsat imagery; then applied FME to integrate vector data, remove existing water bodies, and identify flooded assets such as roads; and finally provided a quality output image to provide intelligent information to field crews.
This efficient combining of technologies enables each specialist (raster; vector) to build and maintain ownership of their own processes and couple them to achieve a single goal, minimising training costs and increasing ease of maintenance.
Sterling Geo engineers solutions that transform spaceborne, airborne and terrestrial data into accurate, actionable information.