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survey-data-processor

survey-data-processor

Survey data processing skill for point clouds, DTM generation, and coordinate transformation

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: survey-data-processor description: Survey data processing skill for point clouds, DTM generation, and coordinate transformation allowed-tools:

  • Read
  • Write
  • Glob
  • Grep
  • Edit
  • Bash metadata: specialization: civil-engineering domain: science category: Surveying skill-id: CIV-SK-033 graph: domains: [domain:civil-engineering] skillAreas: [skill-area:mathematical-reasoning, skill-area:computational-geometry, skill-area:data-analysis] roles: [role:systems-integration-engineer, role:research-engineer]

Survey Data Processor Skill

Purpose

The Survey Data Processor Skill processes survey data including point cloud processing, DTM/TIN generation, coordinate transformation, and traverse adjustment.

Capabilities

  • Point cloud processing
  • DTM/TIN generation
  • Coordinate transformation
  • Traverse adjustment
  • Level loop adjustment
  • GNSS data processing
  • Contour generation
  • Feature extraction

Usage Guidelines

When to Use

  • Processing survey data
  • Creating terrain models
  • Transforming coordinates
  • Adjusting measurements

Prerequisites

  • Survey data collected
  • Control points established
  • Coordinate system defined
  • Quality requirements known

Best Practices

  • Check data quality
  • Verify transformations
  • Document adjustments
  • Archive raw data

Process Integration

This skill integrates with:

  • Geotechnical Site Investigation
  • Highway Geometric Design

Configuration

survey-data-processor:
  data-types:
    - point-cloud
    - total-station
    - GNSS
    - level
  processing:
    - DTM-generation
    - adjustment
    - transformation
    - feature-extraction

Output Artifacts

  • DTM surfaces
  • Adjusted coordinates
  • Transformation reports
  • Survey maps
Gespeicherte Skills