Land use and land cover analysis classifies the surface of a selected region into classes such as water, trees, grass, flooded vegetation, crops, shrub and scrub, built area, bare ground, and snow or ice. GeoRetina AI uses the result to create maps, class summaries, and follow-up-ready analysis layers.
When to Use It
Use LULC mapping when you need to understand what covers a region now or during a defined period:
- Urban expansion and built-area footprint.
- Forest, grassland, crop, or bare-ground distribution.
- Conservation, development, and restoration baselines.
- Inputs for later exposure, suitability, or change analysis.
How to Ask
Current map
Generate a land-cover map for @study_area for summer 2025.
Class summary
Calculate land-cover class areas for @watershed_boundary in 2024.
Planning context
Map built area, tree cover, and bare ground for @redevelopment_zone.
Report-ready
In Super mode, create a land-cover summary report for @project_area.
Outputs
LULC runs commonly produce:
- A classified raster map layer.
- A class-area chart and total area summary.
- A reusable analysis layer in Assets.
- Optional report assets when using Super mode.
Tips for Better Results
- Include a time period or season. For example, "summer 2025" is clearer than "recent."
- Use the same season when comparing multiple years.
- Keep the ROI focused enough for the output to be useful and inspectable.
- Ask for specific class summaries if you only care about a subset such as built area or tree cover.
Follow-up Questions
After the map is created, ask questions against the generated layer:
- "What percentage of the ROI is built area?"
- "Which classes changed most compared with 2018?"
- "Create a short planning summary using the land-cover chart."
- "Export the class summary and map layer."