survey-data-processor

Solid

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

Data & Documents 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
61
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 ```yaml 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills