Surface analysis primarily generates new datasets such as contours, slopes, and aspects to reveal spatial characteristics and patterns implied in the source data.

Raster surface analysis functions, based on surface models, retrieve information or generate surfaces. Key functionalities include:

• Surface Analysis Overview: Introduces fundamental concepts of various surface analysis capabilities provided by the application.
• Extract Isolines: Contour lines (Isolines) are smooth curves connecting adjacent points with equal values, such as elevation contours, isobaths, isotherms, isobars, or isohyets. Contour extraction helps identify locations with identical elevation, temperature, or precipitation values, while their distribution patterns reveal areas of steep or gradual changes.
• Extract Isosurface: Isosurfaces are enclosed areas formed by adjacent contours. They visually represent value variations (e.g., elevation, temperature, precipitation) between neighboring contours. Isosurface extraction identifies areas with identical values, with distribution patterns reflecting raster surface changes similar to contours.
• Line-of-sight Analysis: SuperMap's line-of-sight analysis includes visibility analysis and viewshed analysis. Viewshed analysis generates raster datasets containing visible areas, while visibility analysis determines intervisibility between points and produces visible lines.
• Slope Analysis: Calculates slope values for raster datasets.
• Aspect Analysis: Calculates aspect values for raster datasets.
• Cut Fill: Computes volume and area changes between two raster datasets (pre-cutfill and post-cutfill).
• Surface Cut Fill: Performs cut-and-fill calculations within user-specified areas.
• Inverse Cut Fill: Calculates post-operation elevations based on specified cut-fill dataset boundaries and given fill/excavation volumes.
• Surface Measurement: Measures distances, areas, and volumes on raster surfaces.
• Profile Analysis: Profiles display elevation changes along specified routes, providing critical references for terrain studies and project implementation. This analysis generates cross-sectional profiles and collects sampling points along paths.
• DEM Clipping: Splits original raster datasets into two new raster datasets using drawn cutting lines while maintaining original spatial ranges.
• DEM Curvature Calculation: Computes surface curvature for DEM raster data, including mean curvature, profile curvature, and plan curvature.
• Find Extremum Value: Identifies maximum and minimum extremum points within specified areas.
• 3D Orthophoto: Employs digital differential correction technology to generate 3D orthophotos by calculating appropriate illumination intensities based on surrounding elevations for orthophoto rectification.
• 3D Hillshade: Simulates terrain shadows using hypothetical light sources combined with slope aspect information from raster data. Sun-facing slopes receive higher grayscale values, while shadowed areas receive lower values, visually representing terrain relief.