Trees and encroaching vegetation together with wind, storms, snow, etc. are common reasons for electric supply interruptions in overhead networks. Powerline corridors are often in areas not easily accessible and therefore not easy to survey. Objects near or in powerline corridors can be easily detected from image data (based on airborne or drone systems) together with elevation data (derived from LiDAR or Photogrammetry) using eCognition.

This project from Christian Weise demonstrates eCognition in 'Clearance Mapping around Powerlines'. Users will learn how to fuse spectral information (i.e. for segmentation) with 2.5D elevation information (i.e. for classification) with context information (i.e. distance to powerline) in a mapping process.

Important algorithms used in this project:

• vector buffering/shrinking
• vector dissolve
• vector-based segmentation
• NDSM layer calculation
• index layer calculation
• pixel-based object resizing
• multi-threshold segmentation

Download 'Example Project - Clearance Mapping around Powerlines'

Interesting related content:

• eCognition Deconstructed video: Thematic Layer Operation Algorithms Alterations
• eCognition Deconstructed video: Thematic Layer Operation Algorithms Create / Convert / Remove
• eCognition Deconstructed video: Vector based segmentation
• eCognition Deconstructed video: NDSM Layer Calculation
• eCognition Deconstructed video: Index Layer Calculation
• eCognition Deconstructed video: Pixel-based Object resizing I
• eCognition Deconstructed video: Pixel-based Object resizing II
• eCognition Deconstructed video: Multi-Threshold Segmentation
• Project & Rule Set examples: Smooth Image Objects
• Project & Rule Set examples: Pixel-Based Object Resizing Surface Tension Artificial
• Project & Rule Set examples: Pixel-Based Object Resizing Object Generalization Complex Landcover
• Project & Rule Set examples: Building Generalization