Imagine you need to compute a custom wildfire risk index combining: Slope (from DEM), Fuel Moisture (from Landsat thermal bands), and Proximity to Roads (vector). With the Spatial Modeler, you drag icons (Raster, Operator, Function) onto a canvas, connect them with wires, and run the model. It is intuitive, repeatable, and auditable—ideal for regulated industries like environmental compliance.
The company operated independently until its acquisition by Leica Geosystems in 2001, later becoming part of Hexagon Geospatial .
Planners use "Supervised Classification" to automatically differentiate between asphalt, concrete, rooftops, and grass. This allows for calculating impervious surface area—a key metric for stormwater runoff taxation and zoning compliance. erdas imagine software
: A graphical environment where users can string together complex tools to automate repetitive workflows. Office of Surface Mining Reclamation and Enforcement (.gov) Product Tiers
Converts point clouds into raster surfaces for spatial analysis. Industry Applications Imagine you need to compute a custom wildfire
Easily opens and processes gigabyte-scale images without crashing.
The Spatial Model Editor is a visual programming environment. Users drag and drop operators, inputs, and outputs to build custom data processing workflows. No coding knowledge is required to build models. It supports Python scripting for advanced customization. Models can be shared and scaled across organizations. 2. Advanced Image Classification The company operated independently until its acquisition by
While there are open-source and alternative commercial options, ERDAS IMAGINE remains a top choice for several reasons:
Today, it operates as a native 64-bit application featuring a modern ribbon interface to streamline professional imagery processing for both beginners and experts. Core Functionalities and Specialized Tools
Run models across thousands of datasets simultaneously to save time. Industry Applications
Used to monitor deforestation, track wildlife habitats, map forest fires, and analyze vegetation health via indices like NDVI (Normalized Difference Vegetation Index).