survey-data-processor
SolidSurvey data processing skill for point clouds, DTM generation, and coordinate transformation
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53 forks Updated today MIT
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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
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