Land Intelligence: GeoJSON/QGIS
hybridSpatial planning from map features rather than static graphics.
Purpose
The Land view renders a GeoJSON-style feature collection for swales, ponds, chinampas, zones, drones, and terrain context.
When to Use
- Before digging or planting
- When selecting task zones
- When replacing demo data with QGIS exports
- When briefing a field crew
Best First Action
Click the feature you intend to work on and read its metadata before opening or completing any related task.
Content
Purpose
The Land view renders a GeoJSON-style feature collection for swales, ponds, chinampas, zones, drones, and terrain context.
When to Use
- Before digging or planting
- When selecting task zones
- When replacing demo data with QGIS exports
- When briefing a field crew
Best First Action
Click the feature you intend to work on and read its metadata before opening or completing any related task.
Best Practices
- Replace the demo GeoJSON with a QGIS export before real earthworks.
- Use contour and hydrology layers, not guesswork.
- Keep fallback SVG available for degraded environments.
- Name every feature with stable IDs so tasks can reference them.
Common Mistakes
- Treating the demo GeoJSON as a surveyed field map.
- Digging without contour verification.
- Using map labels without walking the site.
Next Steps
- Open Tasks for field execution.
- Open BioMetriX to see expected pillar changes.
- Export updated GeoJSON with the CRK bundle.
Best Practices
- Replace the demo GeoJSON with a QGIS export before real earthworks.
- Use contour and hydrology layers, not guesswork.
- Keep fallback SVG available for degraded environments.
- Name every feature with stable IDs so tasks can reference them.
Common Mistakes
- Treating the demo GeoJSON as a surveyed field map.
- Digging without contour verification.
- Using map labels without walking the site.
Next Steps
- Open Tasks for field execution.
- Open BioMetriX to see expected pillar changes.
- Export updated GeoJSON with the CRK bundle.