Domain / Land Use AI

Land-use and land-cover classification for planning workflows

Classify water, vegetation, built-up, and bare soil patterns from multispectral imagery with AI-ready raster workflows.

Open Modelling Panel

Decision Outputs

AOI-clipped land-use classification raster

NDVI, NDBI, and MNDWI-derived feature context

Class distribution summaries for planning reports

GeoAI-ready labelled training and inference handoff

Upload multispectral GeoTIFF imagery and optional AOI boundary.

Generate spectral indices and baseline land-cover classes.

Upgrade to GeoAI segmentation/classification models for production accuracy.

Recommended AI and geospatial tools for turning this model into a production-grade Nita AI module.

Geospatial AI model training, segmentation, object detection, inference, and imagery workflows.

Optional runtime integration through geoai-py; the site reports availability when installed. Open docs

Cloud-scale public geospatial datasets, satellite imagery, population rasters, and time-series analysis.

Optional live mode after Earth Engine authentication. Open docs

Interactive AOI drawing, map inspection, layer controls, and user-facing spatial workflows.

Enabled in the browser UI. Open docs

Time-series, indicator, and demographic charts for decision dashboards.

Enabled in the browser UI. Open docs