Domain / Urban Growth

Geospatial urban growth, demography, and safety informatics from AOI to decisions

Draw a city boundary and monitor built-up expansion, population density, night-time activity, demographic structure, and crime-category signals using open-source data.

Open Modelling Panel

Decision Outputs

Built-up expansion and settlement footprint change

Population count and density trends

Night-time lights urban activity proxy

Crime category and safety pressure dashboard

GeoAI-ready hotspot and change-detection handoff

Workflow

Step 1

Draw polygon or rectangle AOI on the map.

Step 2

Query GHSL, GPW, Dynamic World, VIIRS, and WorldPop through Earth Engine adapters.

Step 3

Send imagery chips to OpenGEOAI/GeoAI models for advanced change detection when configured.

GeoAI Toolchain

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

GeoAI / OpenGEOAI

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

Google Earth Engine

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

Optional live mode after Earth Engine authentication. Open docs

Leaflet + Leaflet Draw

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

Enabled in the browser UI. Open docs

Chart.js

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

Enabled in the browser UI. Open docs